# The Ultimate Free AI Curriculum That Replaces Your Degree. 350+ Courses, 5000+ Lectures
**作者**: shikamaru
**日期**: 2026-08-16T09:17:31.000Z
**来源**: [https://x.com/shikamarutsai/status/2088918066310652358](https://x.com/shikamarutsai/status/2088918066310652358)
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I was sick of it
Every time I wanted to learn something new in AI, I’d waste hours searching for decent courses
YouTube gave me random playlists. Google threw up half‑dead links. University sites locked their best content behind student logins. Paid bootcamps wanted thousands of dollars for stuff that should be free
That is why I wrote this article
## ⭣⭣⭣ Everything here is FREE ⭣⭣⭣
1. Deep Learning
2. Machine Learning Fundamentals
3. Optimization for Machine Learning
4. General Machine Learning
5. Reinforcement Learning
6. Probabilistic Graphical Models
7. Bayesian Deep Learning
8. Medical Imaging
9. Graph Neural Networks
10. Natural Language Processing
11. Automatic Speech Recognition
12. Modern Computer Vision
13. Boot Camps or Summer Schools
14. Bird's Eye view of AGI
# 1. Deep Learning (Deep Neural Networks)
1. Neural Networks for Machine Learning (2012, 2014) Geoffrey Hinton, University of Toronto Course WebPage – [Lecture-Slides](http://www.cs.toronto.edu/~hinton/coursera_slides.html), [CSC321-tijmen](https://www.cs.toronto.edu/~tijmen/csc321/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLoRl3Ht4JOcdU872GhiYWf6jwrk_SNhz9), [UofT-mirror](https://www.cs.toronto.edu/~hinton/coursera_lectures.html)
2. Neural Networks Demystified (2014) Stephen Welch, Welch Labs Course WebPage – [Suppl. Code](https://github.com/stephencwelch/Neural-Networks-Demystified) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLiaHhY2iBX9hdHaRr6b7XevZtgZRa1PoU)
3. Deep Learning at Oxford (2015) Nando de Freitas, Oxford University Course WebPage – [Oxford-ML](http://www.cs.ox.ac.uk/teaching/courses/2014-2015/ml/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLE6Wd9FR--EfW8dtjAuPoTuPcqmOV53Fu)
4. Deep Learning for Perception (2015) Dhruv Batra, Virginia Tech Course WebPage – [ECE-6504](https://computing.ece.vt.edu/~f15ece6504/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLE6Wd9FR--EfW8dtjAuPoTuPcqmOV53Fu)
5. Deep Learning (F2015) Ali Ghodsi, University of Waterloo Course WebPage – [STAT-946](https://uwaterloo.ca/data-analytics/deep-learning) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLehuLRPyt1Hyi78UOkMPWCGRxGcA9NVOE)
6. CS231n: CNNs for Visual Recognition (2015) Andrej Karpathy, Stanford University Course WebPage – [CS231n](http://cs231n.stanford.edu/2015/) Lecture Video – None
7. CS224d: Deep Learning for NLP (2015) Richard Socher, Stanford University Course WebPage – [CS231n](http://cs231n.stanford.edu/2015/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLmImxx8Char8dxWB9LRqdpCTmewaml96q)
8. Bay Area Deep Learning (2016) Many legends, Stanford Course WebPage – None Lecture Video – [GitHub](https://github.com/gitwizChen/Deep-Learning-Source-Collection)
9. CS231n: CNNs for Visual Recognition (2016) Andrej Karpathy, Stanford University Course WebPage – [CS231n](http://cs231n.stanford.edu/2016/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLkt2uSq6rBVctENoVBg1TpCC7OQi31AlC), [(Academic Torrent)](https://academictorrents.com/details/46c5af9e2075d9af06f280b55b65cf9b44eb9fe7)
10. Neural Networks (2016) Hugo Larochelle, Université de Sherbrooke Course WebPage – [Neural-Networks](http://info.usherbrooke.ca/hlarochelle/neural_networks/content.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL6Xpj9I5qXYEcOhn7TqghAJ6NAPrNmUBH), [(Academic Torrent)](https://academictorrents.com/details/e046bca3bc837053d1609ef33d623ee5c5af7300)
11. CS224d: Deep Learning for NLP (2016) Richard Socher, Stanford University Course WebPage – [CS224d](http://cs224d.stanford.edu/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLlJy-eBtNFt4CSVWYqscHDdP58M3zFHIG), [(Academic Torrent)](https://academictorrents.com/details/dd9b74b50a1292b4b154094b7338ec1d66e8894d)
12. CS224n: NLP with Deep Learning (2017) Richard Socher, Stanford University Course WebPage – [CS224n](http://web.stanford.edu/class/cs224n/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6)
13. CS231n: CNNs for Visual Recognition (2017) Justin Johnson, Stanford University Course WebPage – [CS231n](http://cs231n.stanford.edu/2017/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv), [(Academic Torrent)](https://academictorrents.com/details/ed8a16ebb346e14119a03371665306609e485f13)
14. Topics in Deep Learning (F2017) Ruslan Salakhutdinov, CMU Course WebPage – [10707](https://deeplearning-cmu-10707.github.io/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLpIxOj-HnDsOSL__Buy7_UEVQkyfhHapa)
15. Deep Learning Crash Course (2017) Leo Isikdogan, UT Austin Course WebPage – None Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLWKotBjTDoLj3rXBL-nEIPRN9V3a9Cx07)
16. Deep Learning and its Applications (2017) François Pitié, Trinity College Dublin Course WebPage – [EE4C16](https://github.com/frcs/4C16-2017) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLIo1iEzl5iB9NkulNR0X5vXN8AaEKglWT)
17. Deep Learning (2018) Andrew Ng, Stanford University Course WebPage – [CS230](http://cs230.stanford.edu/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLoROMvodv4rOABXSygHTsbvUz4G_YQhOb)
18. UvA Deep Learning (2018) Efstratios Gavves, University of Amsterdam Course WebPage – [UvA-DLC](https://uvadlc.github.io/) Lecture Video – [Lecture-Videos](https://uvadlc.github.io/lectures-sep2018.html)
19. Advanced Deep Learning and Reinforcement Learning (2018) Many legends, DeepMind Course WebPage – None Lecture Video – [Lecture-Videos](https://uvadlc.github.io/lectures-sep2018.html)
20. Machine Learning (2018) Peter Bloem, Vrije Universiteit Amsterdam Course WebPage – [MLVU](https://mlvu.github.io/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLCof9EqayQgsORO3pFzeYZFz6cszYO0VJ)
21. Deep Learning (2018) Francois Fleuret, EPFL Course WebPage – [EE-59](https://fleuret.org/ee559-2018/dlc) Lecture Video – [Video-Lectures](https://fleuret.org/ee559-2018/dlc/#materials)
22. Introduction to Deep Learning (2017–2021) Alexander Amini, Harini Suresh and others, MIT Course WebPage – [6.S191](http://introtodeeplearning.com/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI), [2017-version](https://www.youtube.com/playlist?list=PLkkuNyzb8LmxFutYuPA7B4oiMn6cjD6Rs)
23. Deep Learning for Self-Driving Cars (2017–2018) Lex Fridman, MIT Course WebPage – [6.S094](https://selfdrivingcars.mit.edu/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLrAXtmErZgOeiKm4sgNOknGvNjby9efdf)
24. Introduction to Deep Learning (S2018) Bhiksha Raj and many others, CMU Course WebPage – [11-485/785](http://deeplearning.cs.cmu.edu/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLp-0K3kfddPwJBJ4Q8We-0yNQEG0fZrSa)
25. Introduction to Deep Learning (F2018) Bhiksha Raj and many others, CMU Course WebPage – [11-485/785](http://deeplearning.cs.cmu.edu/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLp-0K3kfddPyH44FP0dl0CbYprvTcfgOI), [Recitation-Inclusive](https://www.youtube.com/playlist?list=PLLR0_ZOlbfD6KDBq93G8-guHI-J1ICeFm)
26. Deep Learning Specialization (2017–2018) Andrew Ng, Stanford Course WebPage – [DL.AI](https://www.deeplearning.ai/deep-learning-specialization/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/channel/UCcIXc5mJsHVYTZR1maL5l9w/playlists)
27. Deep Learning (F2017) Ali Ghodsi, University of Waterloo Course WebPage – [STAT-946](https://uwaterloo.ca/data-analytics/teaching/deep-learning-2017) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLehuLRPyt1HxTolYUWeyyIoxDabDmaOSB)
28. Deep Learning (2018) Mitesh Khapra, IIT-Madras Course WebPage – [CS7015](https://www.cse.iitm.ac.in/~miteshk/CS7015.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLyqSpQzTE6M9gCgajvQbc68Hk_JKGBAYT)
29. Deep Learning for AI (2017–2018) UPC Barcelona Course WebPage – [DLAI-2017](https://telecombcn-dl.github.io/2017-dlai/), [DLAI-2018](https://telecombcn-dl.github.io/2018-dlai/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL-5eMc3HQTBagIUjKefjcTbnXC0wXC_vd)
30. Deep Learning (2018) Alex Bronstein and Avi Mendelson, Technion Course WebPage – [CS236605](https://vistalab-technion.github.io/cs236605/info/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLM0a6Z788YAZuqg2Ip-_dPLzEd33lZvP2)
31. MIT Deep Learning (2019) Many Researchers, Lex Fridman, MIT Course WebPage – [6.S094, 6.S091, 6.S093](https://deeplearning.mit.edu/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLrAXtmErZgOeiKm4sgNOknGvNjby9efdf)
32. Deep Learning Book companion videos (2017) Ian Goodfellow and others Course WebPage – [DL-book slides](https://www.deeplearningbook.org/lecture_slides.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLsXu9MHQGs8df5A4PzQGw-kfviylC-R9b)
33. Theories of Deep Learning (F2017) Many Legends, Stanford Course WebPage – [Stats-385](https://stats385.github.io/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLwUqqMt5en7fFLwSDa9V3JIkDam-WWgqy) (first 10 lectures)
34. Neural Networks (2017–2018) Grant Sanderson Course WebPage – None Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi)
35. CS230: Deep Learning (A2018) Andrew Ng, Kian Katanforoosh, Stanford Course WebPage – [CS230](http://cs230.stanford.edu/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLoROMvodv4rOABXSygHTsbvUz4G_YQhOb)
36. Theory of Deep Learning (2018) Lots of Legends, Canary Islands Course WebPage – [DALI'18](http://dalimeeting.org/dali2018/workshopTheoryDL.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLeCNfJWZKqxtWBnV8gefGqmmPgz9YF4LR)
37. Introduction to Deep Learning (S2019) Alex Smola, UC Berkeley Course WebPage – [Stat-157](http://courses.d2l.ai/berkeley-stat-157/index.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLZSO_6-bSqHQHBCoGaObUljoXAyyqhpFW)
38. Deep Unsupervised Learning (S2019) Pieter Abbeel, UC Berkeley Course WebPage – [CS294-158](https://sites.google.com/view/berkeley-cs294-158-sp19/home) Lecture Video – [YouTube-Lectures](https://www.youtube.com/channel/UCf4SX8kAZM_oGcZjMREsU9w/videos)
39. Machine Learning (2019) Peter Bloem, Vrije Universiteit Amsterdam Course WebPage – [MLVU](https://mlvu.github.io/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLCof9EqayQgupldnTvqNy_BThTcME5r93)
40. Deep Learning on Computational Accelerators (S2019) Alex Bronstein and Avi Mendelson, Technion Course WebPage – [CS236605](https://vistalab-technion.github.io/cs236605/lectures/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLM0a6Z788YAa_WCy_V-q9NrGm5qQegZR5)
41. Introduction to Deep Learning (S2019) Bhiksha Raj and many others, CMU Course WebPage – [11-785](http://www.cs.cmu.edu/~bhiksha/courses/deeplearning/Spring.2019/www) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLp-0K3kfddPzNdZPX4p0lVi6AcDXBofuf)
42. Introduction to Deep Learning (F2019) Bhiksha Raj and many others, CMU Course WebPage – [11-785](https://www.cs.cmu.edu/~bhiksha/courses/deeplearning/Fall.2019/www) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLp-0K3kfddPwz13VqV1PaMXF6V6dYdEsj), [Recitations](https://www.youtube.com/playlist?list=PLp-0K3kfddPxf4T59JEQKv5UanLPVsxzz)
43. UvA Deep Learning (S2019) Efstratios Gavves, University of Amsterdam Course WebPage – [UvA-DLC](https://uvadlc.github.io/) Lecture Video – [Lecture-Videos](https://uvadlc.github.io/lectures-apr2019.html)
44. Deep Learning (2019) Prabir Kumar Biswas, IIT Kgp Course WebPage – None Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLbRMhDVUMngc7NM-gDwcBzIYZNFSK2N1a)
45. Deep Learning and its Applications (2019) Aditya Nigam, IIT Mandi Course WebPage – [CS-671](http://faculty.iitmandi.ac.in/~aditya/cs671/index.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLKvX2d3IUq586Ic9gIhZj6ubpWV-OJfl4)
46. Neural Networks (F2019) Neil Rhodes, Harvey Mudd College Course WebPage – [CS-152](https://www.cs.hmc.edu/~rhodes/cs152/schedule.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgEuVSRbAI9UIQSHGy4l01laA_12YOqEj)
47. Deep Learning (F2019) Thomas Hofmann, ETH Zürich Course WebPage – [DAL-DL](http://www.da.inf.ethz.ch/teaching/2019/DeepLearning) Lecture Video – [Lecture-Videos](https://video.ethz.ch/lectures/d-infk/2019/autumn/263-3210-00L.html)
48. Deep Learning (S2019) Milan Straka, Charles University Course WebPage – [NPFL114](https://ufal.mff.cuni.cz/courses/npfl114) Lecture Video – [Lecture-Videos](https://ufal.mff.cuni.cz/courses/npfl114/1718-summer)
49. UvA Deep Learning (F2019) Efstratios Gavves, University of Amsterdam Course WebPage – [UvA-DLC-19](https://uvadlc.github.io/#lectures) Lecture Video – [Lecture-Videos](https://uvadlc.github.io/#lectures)
50. Artificial Intelligence: Principles and Techniques (F2019) Percy Liang and Dorsa Sadigh, Stanford University Course WebPage – [CS221](https://stanford-cs221.github.io/autumn2019/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLoROMvodv4rO1NB9TD4iUZ3qghGEGtqNX)
51. Analyses of Deep Learning (2017–2019) Lots of Legends, Stanford University Course WebPage – [STATS-385](https://stats385.github.io/) Lecture Video – [YouTube-Lectures](https://stats385.github.io/lecture_videos)
52. Deep Learning Foundations and Applications (S2020) Debdoot Sheet and Sudeshna Sarkar, IIT-Kgp Course WebPage – [AI61002](http://www.facweb.iitkgp.ac.in/~debdoot/courses/AI61002/Spr2020) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL_AdDfjIMo6pZfwjZ0rJlkE_MIsmRW7Mh)
53. Designing, Visualizing, and Understanding Deep Neural Networks (S2020) John Canny, UC Berkeley Course WebPage – [CS 182/282A](https://bcourses.berkeley.edu/courses/1487769/pages/cs-l-w-182-slash-282a-designing-visualizing-and-understanding-deep-neural-networks-spring-2020) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLkFD6_40KJIwaO6Eca8kzsEFBob0nFvwm)
54. Deep Learning (S2020) Yann LeCun and Alfredo Canziani, NYU Course WebPage – [DS-GA 1008](https://atcold.github.io/pytorch-Deep-Learning/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLLHTzKZzVU9eaEyErdV26ikyolxOsz6mq)
55. Introduction to Deep Learning (S2020) Bhiksha Raj, CMU Course WebPage – [11-785](https://deeplearning.cs.cmu.edu/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLp-0K3kfddPzCnS4CqKphh-zT3aDwybDe)
56. Deep Unsupervised Learning (S2020) Pieter Abbeel, UC Berkeley Course WebPage – [CS294-158](https://sites.google.com/view/berkeley-cs294-158-sp20) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLwRJQ4m4UJjPiJP3691u-qWwPGVKzSlNP)
57. Machine Learning (S2020) Peter Bloem, Vrije Universiteit Amsterdam Course WebPage – [VUML](https://mlvu.github.io/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLCof9EqayQgthR7IViXkAkUwel_rhxGYM)
58. Deep Learning (with PyTorch) (S2020) Alfredo Canziani and Yann LeCun, NYU Course WebPage – [DS-GA 1008](https://atcold.github.io/pytorch-Deep-Learning/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLLHTzKZzVU9eaEyErdV26ikyolxOsz6mq)
59. Introduction to Deep Learning and Generative Models (S2020) Sebastian Raschka, UW-Madison Course WebPage – [Stat453](http://pages.stat.wisc.edu/~sraschka/teaching/stat453-ss2020/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLTKMiZHVd_2JkR6QtQEnml7swCnFBtq4P)
60. Deep Learning (SS2020) Andreas Maier, FAU Erlangen-Nürnberg Course WebPage – [DL-2020](https://www.video.uni-erlangen.de/course/id/925) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLpOGQvPCDQzvgpD3S0vTy7bJe2pf_yJFj), [Lecture-Videos](https://www.video.uni-erlangen.de/course/id/925)
61. Introduction to Deep Learning (SS2020) Laura Leal-Taixé and Matthias Niessner, TU-München Course WebPage – [I2DL-IN2346](https://dvl.in.tum.de/teaching/i2dl-ss20/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLQ8Y4kIIbzy_OaXv86lfbQwPHSomk2o2e)
62. Deep Learning (2020) Sargur Srihari, SUNY-Buffalo Course WebPage – [CSE676](https://cedar.buffalo.edu/~srihari/CSE676/) Lecture Video – [YouTube-Lectures-P1](https://www.youtube.com/playlist?list=PLmx4utxjUQD70k_NzeiSIXf30m54T_e1h), [YouTube-Lectures-P2](https://www.youtube.com/channel/UCUm7yUmVJyAbYh_0ppJ4H-g/videos)
63. Deep Learning Lecture Series (2020) Lots of Legends, DeepMind x UCL, London Course WebPage – [DLLS-20](https://deepmind.com/learning-resources/deep-learning-lecture-series-2020) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLqYmG7hTraZCDxZ44o4p3N5Anz3lLRVZF)
64. MultiModal Machine Learning (F2020) Louis-Philippe Morency & others, Carnegie Mellon University Course WebPage – [11-777 MMML-20](https://cmu-multicomp-lab.github.io/mmml-course/fall2020) Lecture Video – [YouTube-Lectures](https://www.youtube.com/channel/UCqlHIJTGYhiwQpNuPU5e2gg/videos)
65. Reliable and Interpretable Artificial Intelligence (F2020) Martin Vechev, ETH Zürich Course WebPage – [RIAI-20](https://www.sri.inf.ethz.ch/teaching/riai2020) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLWjm4hHpaNg6c-W7JjNYDEC_kJK9oSp0Y)
66. Fundamentals of Deep Learning (F2020) David McAllester, Toyota Technological Institute, Chicago Course WebPage – [TTIC-31230](https://mcallester.github.io/ttic-31230/Fall2020) Lecture Video – [YouTube-Lectures](https://www.youtube.com/channel/UCciVrtrRR3bQdaGbti9-hVQ/videos)
67. Foundations of Deep Learning (F2020) Soheil Feize, University of Maryland, College Park Course WebPage – [CMSC 828W](http://www.cs.umd.edu/class/fall2020/cmsc828W) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLHgjs9ncvHi80UCSlSvQe-TK_uOyDv_Jf)
68. Deep Learning (W20/21) Andreas Geiger, Universität Tübingen Course WebPage – [DL-UT](https://uni-tuebingen.de/fakultaeten/mathematisch-naturwissenschaftliche-fakultaet/fachbereiche/informatik/lehrstuehle/autonomous-vision/teaching/lecture-deep-learning/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL05umP7R6ij3NTWIdtMbfvX7Z-4WEXRqD)
69. Deep Learning (W20/21) Andreas Maier, FAU Erlangen-Nürnberg Course WebPage – [DL-FAU](https://www.fau.tv/course/id/1599) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLpOGQvPCDQzvJEPFUQ3mJz72GJ95jyZTh)
70. Fundamentals of Deep Learning (S2021) Terence Parr and Yannet Interian, University of San Francisco Course WebPage – [DL-Fundamentals](https://github.com/parrt/fundamentals-of-deep-learning) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLFCc_Fc116ikeol9CZcWWKqmrJljxhE4N)
71. Full Stack Deep Learning (S2021) Pieter Abbeel, Sergey Karayev, UC Berkeley Course WebPage – [FS-DL](https://fullstackdeeplearning.com/spring2021) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL1T8fO7ArWlcWg04OgNiJy91PywMKT2lv)
72. Deep Learning: Designing, Visualizing, and Understanding DNNs (S2021) Sergey Levine, UC Berkeley Course WebPage – [CS 182](https://cs182sp21.github.io/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL_iWQOsE6TfVmKkQHucjPAoRtIJYt8a5A)
73. Deep Learning in the Life Sciences (S2021) Manolis Kellis, MIT Course WebPage – [6.874](https://mit6874.github.io/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLypiXJdtIca5sxV7aE3-PS9fYX3vUdIOX)
74. Introduction to Deep Learning and Generative Models (S2021) Sebastian Raschka, University of Wisconsin-Madison Course WebPage – [Stat 453](http://pages.stat.wisc.edu/~sraschka/teaching/stat453-ss2021) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLTKMiZHVd_2KJtIXOW0zFhFfBaJJilH51)
75. Deep Learning (S2021) Alfredo Canziani and Yann LeCun, NYU Course WebPage – [NYU-DLSP21](https://atcold.github.io/NYU-DLSP21) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLLHTzKZzVU9e6xUfG10TkTWApKSZCzuBI)
76. Applied Deep Learning (2020–2021) Alexander Pacha, TU Wien Course WebPage – None Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLNsFwZQ_pkE8xNYTEyorbaWPN7nvbWyk1)
77. Machine Learning (S2021) Hung-yi Lee, National Taiwan University Course WebPage – [ML'21](https://speech.ee.ntu.edu.tw/~hylee/ml/2021-spring.php) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLJV_el3uVTsNxV_IGauQZBHjBKZ26JHjd)
78. Mathematics of Deep Learning (2019–2021) Lots of legends, FAU Course WebPage – [MoDL](https://www.fau.tv/course/id/878) Lecture Video – [Lecture-Videos](https://www.fau.tv/course/id/878)
79. Deep Learning (2020–2021) Peter Bloem, Michael Cochez, and Jakub Tomczak, VU-Amsterdam Course WebPage – [DL](https://dlvu.github.io/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/channel/UCYh1zKnwzrSjrO2Ae-akfTg/playlists)
80. Applied Deep Learning (2021) Maziar Raissi, UC Boulder Course WebPage – [ADL'21](https://github.com/maziarraissi/Applied-Deep-Learning) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLoEMreTa9CNmuxQeIKWaz7AVFd_ZeAcy4)
81. An Introduction to Group Equivariant Deep Learning (2022) Erik J. Bekkers, Universiteit van Amsterdam Course WebPage – [UvAGEDL](https://uvagedl.github.io/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL8FnQMH2k7jzPrxqdYufoiYVHim8PyZWd)
# 2. Machine Learning Fundamentals
1. Linear Algebra (2011) Gilbert Strang, MIT Course WebPage – [18.06 SC](http://ocw.mit.edu/18-06SCF11) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL221E2BBF13BECF6C)
2. Probability Primer (2011) Jeffrey Miller, Brown University Course WebPage – mathematical monk Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL17567A1A3F5DB5E4)
3. Information Theory, Pattern Recognition, and Neural Networks (2012) David Mackay, University of Cambridge Course WebPage – [ITPRNN](http://www.inference.org.uk/mackay/itprnn) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLruBu5BI5n4aFpG32iMbdWoRVAA-Vcso6)
4. Linear Algebra Review (2013) Zico Kolter, CMU Course WebPage – [LinAlg](http://www.cs.cmu.edu/~zkolter/course/linalg/index.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLM4Pv4KYYzGzL5ay6dmpyzRnbzQ__8v_t)
5. Probability and Statistics (2015) Michel van Biezen Course WebPage – None Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLX2gX-ftPVXUWwTzAkOhBdhplvz0fByqV)
6. Linear Algebra: An in-depth Introduction (2015–2017) Pavel Grinfeld Course WebPage – None Lecture Video – [Part-1](https://www.youtube.com/playlist?list=PLlXfTHzgMRUKXD88IdzS14F4NxAZudSmv) / [Part-2](https://www.youtube.com/playlist?list=PLlXfTHzgMRULWJYthculb2QWEiZOkwTSU) / [Part-3](https://www.youtube.com/playlist?list=PLlXfTHzgMRUIqYrutsFXCOmiqKUgOgGJ5) / [Part-4](https://www.youtube.com/playlist?list=PLlXfTHzgMRULZfrNCrrJ7xDcTjGr633mm)
7. Multivariable Calculus (2016) Grant Sanderson, Khan Academy Course WebPage – None Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLSQl0a2vh4HC5feHa6Rc5c0wbRTx56nF7)
8. Essence of Linear Algebra (2016) Grant Sanderson Course WebPage – None Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab)
9. Essence of Calculus (2017–2018) Grant Sanderson Course WebPage – None Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLZHQObOWTQDMsr9K-rj53DwVRMYO3t5Yr)
10. Math Background for Machine Learning (F2017) Geoff Gordon, CMU Course WebPage – [10-606](https://canvas.cmu.edu/courses/603/assignments/syllabus), [10-607](https://piazza.com/cmu/fall2017/1060610607/home) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL7y-1rk2cCsAqRtWoZ95z-GMcecVG5mzA)
11. Mathematics for Machine Learning (Linear Algebra, Calculus) (2018) David Dye, Samuel Cooper, and Freddie Page, IC-London Course WebPage – [MML](https://www.coursera.org/learn/linear-algebra-machine-learning) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLmAuaUS7wSOP-iTNDivR0ANKuTUhEzMe4)
12. Multivariable Calculus (2018) S.K. Gupta and Sanjeev Kumar, IIT-Roorkee Course WebPage – [MVC](https://nptel.ac.in/syllabus/111107108/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLq-Gm0yRYwTiQtK374NzhFOcQkWmJ71vx)
13. Engineering Probability (2018) Rich Radke, Rensselaer Polytechnic Institute Course WebPage – None Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLuh62Q4Sv7BU1dN2G6ncyiMbML7OXh_Jx)
14. Matrix Methods in Data Analysis, Signal Processing, and Machine Learning (S2018) Gilbert Strang, MIT Course WebPage – [18.065](https://ocw.mit.edu/courses/mathematics/18-065-matrix-methods-in-data-analysis-signal-processing-and-machine-learning-spring-2018) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLUl4u3cNGP63oMNUHXqIUcrkS2PivhN3k)
15. Information Theory (2018–2020) Himanshu Tyagi, IISC, Bengaluru Course WebPage – [E2 201](https://ece.iisc.ac.in/~htyagi/course-E2201-2020.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgMDNELGJ1CYS-8dlMGPIaowVfeda4nUj)
16. Math Camp (2019) Mark Walker, University of Arizona Course WebPage – [UAMathCamp / Econ-519](http://www.u.arizona.edu/~mwalker/MathCamp2019.htm) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLcjqUUQt__ZGLhwUacPm7_RKs2eJNFwco)
17. A 2020 Vision of Linear Algebra (S2020) Gilbert Strang, MIT Course WebPage – [VoLA](https://ocw.mit.edu/resources/res-18-010-a-2020-vision-of-linear-algebra-spring-2020/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLUl4u3cNGP61iQEFiWLE21EJCxwmWvvek)
18. Mathematics for Numerical Computing and Machine Learning (F2020) Szymon Rusinkiewicz, Princeton University Course WebPage – [COS-302](https://www.cs.princeton.edu/courses/archive/fall20/cos302/outline.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL88aSuXxl_dSjC5pIG8bGkC5wsUPyW_Hh)
19. Essential Statistics for Neuroscientists (2020) Philipp Berens, Universität Klinikum Tübingen Course WebPage – None Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL05umP7R6ij0Gw5SLIrOA1dMYScCx4oXT)
20. Mathematics for Machine Learning (W2020) Ulrike von Luxburg, Eberhard Karls Universität Tübingen Course WebPage – [Math4ML](https://www.tml.cs.uni-tuebingen.de/teaching/2020_maths_for_ml) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL05umP7R6ij1a6KdEy8PVE9zoCv6SlHRS)
21. Introduction to Causal Inference (F2020) Brady Neal, Mila, Montréal Course WebPage – [CausalInf](https://www.bradyneal.com/causal-inference-course) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLoazKTcS0Rzb6bb9L508cyJ1z-U9iWkA0)
22. Applied Linear Algebra (2021) Andrew Thangaraj, IIT Madras Course WebPage – [EE5120](http://www.ee.iitm.ac.in/~andrew/EE5120) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLyqSpQzTE6M-CHZU5RGfamcXOnuFyTOpm)
23. Mathematical Tools for Data Science (2021) Carlos Fernandez-Granda, New York University Course WebPage – [DS-GA 1013/Math-GA 2824](https://cds.nyu.edu/math-tools) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLBEf5mJtE6KtU6YlXFZD6lyYcHhW5pIlc)
24. Mathematics for Numerical Computing and Machine Learning (2021) Ryan Adams, Princeton University Course WebPage – [COS 302 / SML 305](https://www.cs.princeton.edu/courses/archive/spring21/cos302) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLCO4cUaBLHFEHo42HVIVWaSOvbAiH30uc)
# 3. Optimization for Machine Learning
1. Convex Optimization (2008) Stephen Boyd, Stanford University Course WebPage – [ee364a](http://web.stanford.edu/class/ee364a/lectures.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL3940DD956CDF0622)
2. Introduction to Optimization (2009) Michael Zibulevsky, Technion Course WebPage – [CS-236330](https://sites.google.com/site/michaelzibulevsky/optimization-course) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLDFB2EEF4DDAFE30B)
3. Optimization for Machine Learning (2011) S V N Vishwanathan, Purdue University Course WebPage – None Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL09B0E8AFC69BE108)
4. Optimization (2012) Geoff Gordon & Ryan Tibshirani, CMU Course WebPage – [10-725](https://www.cs.cmu.edu/~ggordon/10725-F12/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL7y-1rk2cCsDOv91McLOnV4kExFfTB7dU)
5. Convex Optimization (2013) Joydeep Dutta, IIT-Kanpur Course WebPage – [cvx-nptel](https://nptel.ac.in/courses/111/104/111104068) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLbMVogVj5nJQHFqfiSdgaLCCWvDcm1W4l)
6. Foundations of Optimization (2014) Joydeep Dutta, IIT-Kanpur Course WebPage – [fop-nptel](https://nptel.ac.in/courses/111/104/111104071) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLbMVogVj5nJRRbofh3Qm3P6_NVyevDGD_)
7. Algorithmic Aspects of Machine Learning (S2015) Ankur Moitra, MIT Course WebPage – [18.409-AAML](http://people.csail.mit.edu/moitra/409.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLB3sDpSRdrOvI1hYXNsa6Lety7K8FhPpx)
8. Numerical Optimization (2015) Shirish K. Shevade, IISC Course WebPage – None Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL6EA0722B99332589)
9. Convex Optimization (S2015) Ryan Tibshirani, CMU Course WebPage – [10-725](https://www.stat.cmu.edu/~ryantibs/convexopt-S15/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLjbUi5mgii6BZBhJ9nW7eydgycyCOYeZ6)
10. Convex Optimization (F2015) Ryan Tibshirani, CMU Course WebPage – [10-725](http://stat.cmu.edu/~ryantibs/convexopt-F15/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLjbUi5mgii6AGJW3La3BpEXe27n8v3biT)
11. Advanced Algorithms (S2016) Ankur Moitra, MIT Course WebPage – [6.854-AA](http://people.csail.mit.edu/moitra/854.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL6ogFv-ieghdoGKGg2Bik3Gl1glBTEu8c)
12. Introduction to Optimization (2016) Michael Zibulevsky, Technion Course WebPage – None Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLBD31626529B0AC2A)
13. Convex Optimization (F2016) Javier Peña & Ryan Tibshirani Course WebPage – [10-725/36-725](https://www.stat.cmu.edu/~ryantibs/convexopt-F16) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLjbUi5mgii6AVdvImLB9-Hako68p9MpIC)
14. Convex Optimization (F2018) Ryan Tibshirani, CMU Course WebPage – [10-725](https://www.stat.cmu.edu/~ryantibs/convexopt-F18/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLpIxOj-HnDsMM7BCNGC3hPFU3DfCWfVIw) / [Lecture-Videos](https://www.stat.cmu.edu/~ryantibs/convexopt-F18/)
15. Modern Algorithmic Optimization (2018) Yurii Nesterov, UCLouvain Course WebPage – None Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLEqoHzpnmTfAoUDqnmMly-KgyJ6ZM_axf)
16. Optimization, Foundations of Optimization (2019 – now) Mark Walker, University of Arizona Course WebPage – [MathCamp-20](http://www.u.arizona.edu/~mwalker/MathCamp2020/MathCamp2020LectureNotes.htm) Lecture Video – [YouTube-Lectures-Found.](https://www.youtube.com/playlist?list=PLcjqUUQt__ZE6wp_c4-FcRdmzBvx8VN7O) / [YouTube-Lectures-Opt](https://www.youtube.com/playlist?list=PLcjqUUQt__ZE0ZSTNRyBIgLJ5obPHdmxC)
17. Optimization: Principles and Algorithms (2019) Michel Bierlaire, École polytechnique fédérale de Lausanne (EPFL) Course WebPage – [opt-algo](https://transp-or.epfl.ch/books/optimization/html/about_book.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLM4Pv4KYYzGzOpWwsaV6GgllT6njsi1G-)
18. Optimization and Simulation (S2019) Michel Bierlaire, École polytechnique fédérale de Lausanne (EPFL) Course WebPage – [opt-sim](https://transp-or.epfl.ch/courses/OptSim2019/slides.php) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL10NOnsbP5Q5NlJ-Y6Eiup6RTSfkuj1TR)
19. Brazilian Workshop on Continuous Optimization (2019) Lots of Legends, Instituto Nacional de Matemática Pura e Aplicada, Rio de Janeiro Course WebPage – [cont. opt.](https://impa.br/eventos-do-impa/eventos-2019/xiii-brazilian-workshop-on-continuous-optimization) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLo4jXE-LdDTQVZhnLPq2W31vJ1fq1VSp6)
20. One World Optimization Seminar (2020–) Lots of Legends, Universität Wien Course WebPage – [1W-OPT](https://owos.univie.ac.at/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLBQo-yZOMzLWEcAptzTYOnwXo9hhXrAa2)
21. Convex Optimization II (S2020) Constantine Caramanis, UT Austin Course WebPage – [CVX-Optim-II](http://users.ece.utexas.edu/~cmcaram/constantine_caramanis/Announcements.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLXsmhnDvpjORzPelSDs0LSDrfJcqyLlZc)
22. Combinatorial Optimization (F2020) Constantine Caramanis, UT Austin Course WebPage – [comb-op](https://caramanis.github.io/teaching/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLXsmhnDvpjORcTRFMVF3aUgyYlHsxfhNL)
23. Optimization Methods for Machine Learning and Engineering (W2020–21) Julius Pfrommer, Jürgen Beyerer, Karlsruher Institut für Technologie (KIT) Course WebPage – [Optim-MLE](https://ies.iar.kit.edu/lehre_1487.php), [slides](https://drive.google.com/drive/folders/1WWVWV4vDBIOkjZc6uFY3nfXvpaOUHcfb) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLdkTDauaUnQpzuOCZyUUZc0lxf4-PXNR5)
# 4. General Machine Learning
1. CS229: Machine Learning (2007) Andrew Ng, Stanford University Course WebPage – [CS229-old](https://see.stanford.edu/Course/CS229/) / [CS229-new](http://cs229.stanford.edu/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLA89DCFA6ADACE599)
2. Machine Learning (2011) Jeffrey Miller, Brown University Course WebPage – mathematical monk Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLD0F06AA0D2E8FFBA)
3. Machine Learning (2011) Tom Mitchell, CMU Course WebPage – [10-701](http://www.cs.cmu.edu/~tom/10701_sp11/) Lecture Video – [Lecture-Videos](http://www.cs.cmu.edu/~tom/10701_sp11/lectures.shtml)
4. Machine Learning and Data Mining (2012) Nando de Freitas, University of British Columbia Course WebPage – [CPSC-340](https://www.cs.ubc.ca/~nando/340-2012/index.php) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLE6Wd9FR--Ecf_5nCbnSQMHqORpiChfJf)
5. Learning from Data (2012) Yaser Abu-Mostafa, CalTech Course WebPage – [CS156](http://work.caltech.edu/telecourse.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLD63A284B7615313A)
6. Machine Learning (2013) Rudolph Triebel, Technische Universität München Course WebPage – [Machine Learning](https://vision.in.tum.de/teaching/ws2013/ml_ws13) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLTBdjV_4f-EIiongKlS9OKrBEp8QR47Wl)
7. Introduction to Machine Learning (2013) Alex Smola, CMU Course WebPage – [10-701](http://alex.smola.org/teaching/cmu2013-10-701/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLZSO_6-bSqHQmMKwWVvYwKreGu4b4kMU9)
8. Introduction to Machine Learning (2013) Alex Smola and Geoffrey Gordon, CMU Course WebPage – [10-701x](http://alex.smola.org/teaching/cmu2013-10-701x/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLZSO_6-bSqHR7NPk4k0zqdm2dPdraQZ_B)
9. Pattern Recognition (2014) Sukhendu Das, IIT-M and C.A. Murthy, ISI-Calcutta Course WebPage – [PR-NPTEL](https://nptel.ac.in/syllabus/106106046/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLbMVogVj5nJQJMLb2CYw9rry0d5s0TQRp)
10. An Introduction to Statistical Learning with Applications in R (2014) Trevor Hastie and Robert Tibshirani, Stanford Course WebPage – [stat-learn](https://lagunita.stanford.edu/courses/HumanitiesandScience/StatLearning/Winter2015/about) / [R-bloggers](https://www.r-bloggers.com/in-depth-introduction-to-machine-learning-in-15-hours-of-expert-videos/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLOg0ngHtcqbPTlZzRHA2ocQZqB1D_qZ5V)
11. Introduction to Machine Learning (2015) Katie Malone, Sebastian Thrun, Udacity Course WebPage – [ML-Udacity](https://www.udacity.com/course/ud120) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLAwxTw4SYaPkQXg8TkVdIvYv4HfLG7SiH)
12. Introduction to Machine Learning (2015) Dhruv Batra, Virginia Tech Course WebPage – [ECE-5984](https://filebox.ece.vt.edu/~s15ece5984/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL-fZD610i7yDUiNTFy-tEOxkTwg4mHZHu)
13. Statistical Learning - Classification (2015) Ali Ghodsi, University of Waterloo Course WebPage – [STAT-441](https://uwaterloo.ca/data-analytics/statistical-learning-classification) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLehuLRPyt1Hy-4ObWBK4Ab0xk97s6imfC)
14. Machine Learning Theory (2015) Shai Ben-David, University of Waterloo Course WebPage – None Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLPW2keNyw-usgvmR7FTQ3ZRjfLs5jT4BO)
15. Introduction to Machine Learning (S2015) Alex Smola, CMU Course WebPage – [10-701](http://alex.smola.org/teaching/10-701-15/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLZSO_6-bSqHTTV7w9u7grTXBHMH-mw3qn)
16. Statistical Machine Learning (S2015) Larry Wasserman, CMU Course WebPage – None Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLjbUi5mgii6BWEUZf7He6nowWvGne_Y8r)
17. ML: Supervised Learning (2015) Michael Littman, Charles Isbell, Pushkar Kolhe, GaTech Course WebPage – [ML-Udacity](https://eu.udacity.com/course/machine-learning--ud262) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLAwxTw4SYaPl0N6-e1GvyLp5-MUMUjOKo)
18. ML: Unsupervised Learning (2015) Michael Littman, Charles Isbell, Pushkar Kolhe, GaTech Course WebPage – [ML-Udacity](https://eu.udacity.com/course/machine-learning-unsupervised-learning--ud741) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLAwxTw4SYaPmaHhu-Lz3mhLSj-YH-JnG7)
19. Advanced Introduction to Machine Learning (F2015) Barnabas Poczos and Alex Smola Course WebPage – [10-715](https://www.cs.cmu.edu/~bapoczos/Classes/ML10715_2015Fall/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL4YhK0pT0ZhWBzSBkMGzpnPw6sf6Ma0IX)
20. Machine Learning (S2016) Pedro Domingos, UWashington Course WebPage – [CSEP-546](https://courses.cs.washington.edu/courses/csep546/16sp/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLTPQEx-31JXgtDaC6-3HxWcp7fq4N8YGr)
21. Statistical Machine Learning (S2016) Larry Wasserman, CMU Course WebPage – None Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLTB9VQq8WiaCBK2XrtYn5t9uuPdsNm7YE)
22. Machine Learning with Large Datasets (F2016) William Cohen, CMU Course WebPage – [10-605](http://curtis.ml.cmu.edu/w/courses/index.php/Machine_Learning_with_Large_Datasets_10-605_in_Fall_2016) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLnfBqXRW5MRhPtfkadfwQ0VcuSi2IwEcW)
23. Math Background for Machine Learning (F2016) Geoffrey Gordon, CMU Course WebPage – 10-600 Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL7y-1rk2cCsA339crwXMWUaBRuLBvPBCg)
24. Statistical Learning - Classification (2017) Ali Ghodsi, University of Waterloo Course WebPage – None Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLehuLRPyt1HzXDemu7K4ETcF0Ld_B5adG)
25. Machine Learning (2017) Andrew Ng, Stanford University Course WebPage – [Coursera-ML](https://www.coursera.org/learn/machine-learning) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLLssT5z_DsK-h9vYZkQkYNWcItqhlRJLN)
26. Machine Learning (2017) Roni Rosenfield, CMU Course WebPage – [10-601](http://www.cs.cmu.edu/~roni/10601-f17/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL7k0r4t5c10-g7CWCnHfZOAxLaiNinChk)
27. Statistical Machine Learning (S2017) Ryan Tibshirani, Larry Wasserman, CMU Course WebPage – [10-702](http://www.stat.cmu.edu/~ryantibs/statml/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLjbUi5mgii6B7A0nM74zHTOVQtTC9DaCv)
28. Machine Learning for Computer Vision (F2017) Fred Hamprecht, Heidelberg University Course WebPage – None Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLuRaSnb3n4kSQFyt8VBldsQ9pO9Xtu8rY)
29. Math Background for Machine Learning (F2017) Geoffrey Gordon, CMU Course WebPage – [10-606 / 10-607](https://canvas.cmu.edu/courses/603/assignments/syllabus) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL7y-1rk2cCsAqRtWoZ95z-GMcecVG5mzA)
30. Data Visualization (2017) Ali Ghodsi, University of Waterloo Course WebPage – None Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLehuLRPyt1HzQoXEhtNuYTmd0aNQvtyAK)
31. Machine Learning for Physicists (2017) Florian Marquardt, Uni Erlangen-Nürnberg Course WebPage – [ML4Phy-17](http://www.thp2.nat.uni-erlangen.de/index.php/2017_Machine_Learning_for_Physicists,_by_Florian_Marquardt) Lecture Video – [Lecture-Videos](https://www.video.uni-erlangen.de/course/id/574)
32. Machine Learning for Intelligent Systems (F2018) Kilian Weinberger, Cornell University Course WebPage – [CS4780](http://www.cs.cornell.edu/courses/cs4780/2018fa/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLl8OlHZGYOQ7bkVbuRthEsaLr7bONzbXS)
33. Statistical Learning Theory and Applications (F2018) Tomaso Poggio, Lorenzo Rosasco, Sasha Rakhlin Course WebPage – [9.520/6.860](https://cbmm.mit.edu/lh-9-520) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLyGKBDfnk-iAtLO6oLW4swMiQGz4f2OPY)
34. Machine Learning and Data Mining (2018) Mike Gelbart, University of British Columbia Course WebPage – [CPSC-340](https://ubc-cs.github.io/cpsc340/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLWmXHcz_53Q02ZLeAxigki1JZFfCO6M-b)
35. Foundations of Machine Learning (2018) David Rosenberg, Bloomberg Course WebPage – [FOML](https://bloomberg.github.io/foml/#home) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLnZuxOufsXnvftwTB1HL6mel1V32w0ThI)
36. Introduction to Machine Learning (2018) Andreas Krause, ETH Zürich Course WebPage – [IntroML](https://las.inf.ethz.ch/teaching/introml-s18) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLzn6LN6WhlN273tsqyfdrBUsA-o5nUESV)
37. Machine Learning Fundamentals (2018) Sanjoy Dasgupta, UC-San Diego Course WebPage – [MLF-slides](https://drive.google.com/drive/folders/1l1rwv-jMihLZIpW0zTgGN9-snWOsA3M9) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL_onPhFCkVQhUzcTVgQiC8W2ShZKWlm0s)
38. Machine Learning (2015–2018) Jordan Boyd-Graber, University of Maryland Course WebPage – [CMSC-726](http://users.umiacs.umd.edu/~jbg/teaching/CMSC_726/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLegWUnz91WfsELyRcZ7d1GwAVifDaZmgo)
39. Machine Learning (2018) Andrew Ng, Stanford University Course WebPage – [CS229](http://cs229.stanford.edu/syllabus-autumn2018.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLoROMvodv4rMiGQp3WXShtMGgzqpfVfbU)
40. Machine Intelligence (2019) H.R.Tizhoosh, UWaterloo Course WebPage – [SYDE-522](https://kimialab.uwaterloo.ca/kimia/index.php/teaching/syde-522-machine-intelligence-2) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL4upCU5bnihwCX93Gv6AQnKmVMwx4AZoT)
41. Introduction to Machine Learning (S2019) Pascal Poupart, University of Waterloo Course WebPage – [CS480/680](https://cs.uwaterloo.ca/~ppoupart/teaching/cs480-spring19) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLdAoL1zKcqTW-uzoSVBNEecKHsnug_M0k)
42. Advanced Machine Learning (S2019) Thorsten Joachims, Cornell University Course WebPage – [CS-6780](https://www.cs.cornell.edu/courses/cs6780/2019sp) Lecture Video – [Lecture-Videos](https://cornell.mediasite.com/Mediasite/Catalog/Full/f5d1cd3323f746cca80b2468bf97efd421)
43. Machine Learning for Structured Data (F2019) Matt Gormley, Carnegie Mellon University Course WebPage – [10-418/10-618](http://www.cs.cmu.edu/~mgormley/courses/10418/schedule.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL4CxkUJbvNVihRKP4bXufvRLIWzeS-ieP)
44. Advanced Machine Learning (F2019) Joachim Buhmann, ETH Zürich Course WebPage – [ML2-AML](https://ml2.inf.ethz.ch/courses/aml/) Lecture Video – [Lecture-Videos](https://video.ethz.ch/lectures/d-infk/2019/autumn/252-0535-00L.html)
45. Machine Learning for Signal Processing (F2019) Vipul Arora, IIT-Kanpur Course WebPage – [MLSP](http://home.iitk.ac.in/~vipular/stuff/2019_MLSP.html) Lecture Video – [Lecture-Videos](https://iitk-my.sharepoint.com/:f:/g/personal/vipular_iitk_ac_in/Enf97NZfsoVBiyclC6yHfe4BlUv6CA4U8LPQQ4vtsDo_Xg)
46. Foundations of Machine Learning (2019) Animashree Anandkumar, CalTech Course WebPage – [CMS-165](http://tensorlab.cms.caltech.edu/users/anima/cms165-2019.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLVNifWxslHCA5GUh0o92neMiWiQiGVFqp)
47. Machine Learning for Physicists (2019) Florian Marquardt, Uni Erlangen-Nürnberg Course WebPage – None Lecture Video – [Lecture-Videos](https://www.video.uni-erlangen.de/course/id/778)
48. Applied Machine Learning (2019) Andreas Müller, Columbia University Course WebPage – [COMS-W4995](https://www.cs.columbia.edu/~amueller/comsw4995s19/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL_pVmAaAnxIQGzQS2oI3OWEPT-dpmwTfA)
49. Fundamentals of Machine Learning over Networks (2019) Hossein Shokri-Ghadikolaei, KTH, Sweden Course WebPage – [MLoNs](https://sites.google.com/view/mlons/course-materials) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLWoZTd81WFCEBFrxDfNUrDnt3ABdLfg80)
50. Foundations of Machine Learning and Statistical Inference (2020) Animashree Anandkumar, CalTech Course WebPage – [CMS-165](http://tensorlab.cms.caltech.edu/users/anima/cms165-2020.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLVNifWxslHCDlbyitaLLYBOAEPbmF1AHg)
51. Machine Learning (S2020) Rebecca Willett and Yuxin Chen, University of Chicago Course WebPage – [STAT 37710 / CMSC 35400](https://voices.uchicago.edu/willett/teaching/stats37710-cmsc35400-s20) Lecture Video – [Lecture-Videos](https://voices.uchicago.edu/willett/teaching/stats37710-cmsc35400-s20) (same as webpage)
52. Introduction to Machine Learning (S2020) Sanjay Lall and Stephen Boyd, Stanford University Course WebPage – [EE104/CME107](http://ee104.stanford.edu/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLoROMvodv4rN_Uy7_wmS051_q1d6akXmK)
53. Applied Machine Learning (S2020) Andreas Müller, Columbia University Course WebPage – [COMS-W4995](https://www.cs.columbia.edu/~amueller/comsw4995s20/schedule/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL_pVmAaAnxIRnSw6wiCpSvshFyCREZmlM)
54. Statistical Machine Learning (SS2020) Ulrike von Luxburg, Eberhard Karls Universität Tübingen Course WebPage – [Stat-ML](https://www.tml.cs.uni-tuebingen.de/teaching/2020_statistical_learning/index.php) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL05umP7R6ij2XCvrRzLokX6EoHWaGA2cC)
55. Probabilistic Machine Learning (SS2020) Philipp Hennig, Eberhard Karls Universität Tübingen Course WebPage – [Prob-ML](https://uni-tuebingen.de/en/180804) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL05umP7R6ij1tHaOFY96m5uX3J21a6yNd)
56. Machine Learning (F2020) Sarath Chandar, PolyMTL, UdeM, Mila Course WebPage – [INF8953CE](http://sarathchandar.in/teaching/ml/fall2020) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLImtCgowF_ET0mi-AmmqQ0SIJUpWYaIOr)
57. Machine Learning (F2020) Erik Bekkers, Universiteit van Amsterdam Course WebPage – [UvA-ML](https://uvaml1.github.io/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL8FnQMH2k7jzhtVYbKmvrMyXDYMmgjj_n)
58. Neural Networks for Signal Processing (F2020) Shayan Srinivasa Garani, Indian Institute of Science Course WebPage – [NN4SP](https://labs.dese.iisc.ac.in/pnsil/neural-networks-and-learning-systems-i-fall-2020/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgMDNELGJ1CZn1399dV7_U4VBNJflRsua)
59. Introduction to Machine Learning (2020) Dmitry Kobak, Universität Klinikum Tübingen Course WebPage – None Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL05umP7R6ij35ShKLDqccJSDntugY4FQT)
60. Machine Learning (PRML) (2020) Erik J. Bekkers, Universiteit van Amsterdam Course WebPage – [UvAML-1](https://uvaml1.github.io/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL8FnQMH2k7jzhtVYbKmvrMyXDYMmgjj_n)
61. Machine Learning with Kernel Methods (S2021) Julien Mairal and Jean-Philippe Vert, Inria/ENS Paris-Saclay, Google Course WebPage – [ML-Kernels](http://members.cbio.mines-paristech.fr/~jvert/svn/kernelcourse/course/2021mva/index.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLD93kGj6_EdrkNj27AZMecbRlQ1SMkp_o)
62. Continual Learning (2021) Vincenzo Lomonaco, Università di Pisa Course WebPage – [ContLearn'21](https://course.continualai.org/background/details) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLm6QXeaB-XkBfM5RgQP6wCR7Jegdg51Px)
63. Causality (2021) Christina Heinze-Deml, ETH Zurich Course WebPage – [Causal'21](https://stat.ethz.ch/lectures/ss21/causality.php#course_materials) Lecture Video – [YouTube-Lectures](https://stat.ethz.ch/lectures/ss21/causality.php#course_materials)
# 5. Reinforcement Learning
1. A Short Course on Reinforcement Learning (2011) Satinder Singh, UMichigan Course WebPage – None Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLM4Pv4KYYzGy4cIFQ5C36-1jMNLab80Ky)
2. Approximate Dynamic Programming (2014) Dimitri P. Bertsekas, MIT Course WebPage – [Lecture-Slides](http://adpthu2014.weebly.com/slides--materials.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLiCLbsFQNFAxOmVeqPhI5er1LGf2-L9I4)
3. Introduction to Reinforcement Learning (2015) David Silver, DeepMind Course WebPage – [UCL-RL](http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLqYmG7hTraZDM-OYHWgPebj2MfCFzFObQ)
4. Reinforcement Learning (2015) Charles Isbell, Chris Pryby, GaTech; Michael Littman, Brown Course WebPage – [RL-Udacity](https://eu.udacity.com/course/reinforcement-learning--ud600) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLAwxTw4SYaPnidDwo9e2c7ixIsu_pdSNp)
5. Reinforcement Learning (2016) Balaraman Ravindran, IIT Madras Course WebPage – [RL-IITM](https://www.cse.iitm.ac.in/~ravi/courses/Reinforcement Learning.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLNdWVHi37UggQIVcaZcmtGGEQHY9W7d9D)
6. Deep Reinforcement Learning (S2017) Sergey Levine, UC Berkeley Course WebPage – [CS-294](http://rail.eecs.berkeley.edu/deeprlcoursesp17/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLkFD6_40KJIwTmSbCv9OVJB3YaO4sFwkX)
7. Deep Reinforcement Learning (F2017) Sergey Levine, UC Berkeley Course WebPage – [CS-294](http://rail.eecs.berkeley.edu/deeprlcourse-fa17/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLkFD6_40KJIznC9CDbVTjAF2oyt8_VAe3)
8. Deep RL Bootcamp (2017) Many legends, UC Berkeley Course WebPage – [Deep-RL](https://sites.google.com/view/deep-rl-bootcamp/lectures) Lecture Video – [YouTube-Lectures](https://www.youtube.com/channel/UCTgM-VlXKuylPrZ_YGAJHOw/videos)
9. Data Efficient Reinforcement Learning (2017) Lots of Legends, Canary Islands Course WebPage – [DERL-17](http://dalimeeting.org/dali2017/data-efficient-reinforcement-learning.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL-tWvTpyd1VAvDpxukup6w-SuZQQ7e8K8)
10. Deep Reinforcement Learning (2018) Sergey Levine, UC Berkeley Course WebPage – [CS-294-112](http://rail.eecs.berkeley.edu/deeprlcourse-fa18/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLkFD6_40KJIxJMR-j5A1mkxK26gh_qg37)
11. Reinforcement Learning (2018) Pascal Poupart, University of Waterloo Course WebPage – [CS-885](https://cs.uwaterloo.ca/~ppoupart/teaching/cs885-spring18/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLdAoL1zKcqTXFJniO3Tqqn6xMBBL07EDc)
12. Deep Reinforcement Learning and Control (2018) Katerina Fragkiadaki and Tom Mitchell, CMU Course WebPage – [10-703](http://www.andrew.cmu.edu/course/10-703/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLpIxOj-HnDsNfvOwRKLsUobmnF2J1l5oV)
13. Reinforcement Learning and Optimal Control (2019) Dimitri Bertsekas, Arizona State University Course WebPage – [RLOC](http://web.mit.edu/dimitrib/www/RLbook.html) Lecture Video – [Lecture-Videos](http://web.mit.edu/dimitrib/www/RLbook.html) (same as webpage)
14. Reinforcement Learning (2019) Emma Brunskill, Stanford University Course WebPage – [CS 234](http://web.stanford.edu/class/cs234/index.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLoROMvodv4rOSOPzutgyCTapiGlY2Nd8u)
15. Reinforcement Learning Day (2019) Lots of Legends, Microsoft Research, New York Course WebPage – [RLD-19](https://www.microsoft.com/en-us/research/event/reinforcement-learning-day-2019/#!agenda) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLD7HFcN7LXRe9nWEX3Up-RiCDi6-0mqVC)
16. New Directions in Reinforcement Learning and Control (2019) Lots of Legends, IAS, Princeton University Course WebPage – [NDRLC-19](https://www.math.ias.edu/ndrlc) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLdDZb3TwJPZ61sGqd6cbWCmTc275NrKu3)
17. Deep Reinforcement Learning (F2019) Sergey Levine, UC Berkeley Course WebPage – [CS 285](http://rail.eecs.berkeley.edu/deeprlcourse-fa19) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLkFD6_40KJIwhWJpGazJ9VSj9CFMkb79A)
18. Deep Multi-Task and Meta Learning (F2019) Chelsea Finn, Stanford University Course WebPage – [CS 330](https://cs330.stanford.edu/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLoROMvodv4rMC6zfYmnD7UG3LVvwaITY5)
19. RL-Theory Seminars (2020 – ) Lots of Legends, Earth Course WebPage – [RL-theory-sem](https://sites.google.com/view/rltheoryseminars/past-seminars) Lecture Video – [YouTube-Lectures](https://www.youtube.com/channel/UCfBFutC9RbKK6p--B4R9ebA/videos)
20. Deep Reinforcement Learning (F2020) Sergey Levine, UC Berkeley Course WebPage – [CS 285](http://rail.eecs.berkeley.edu/deeprlcourse-fa20) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL_iWQOsE6TfURIIhCrlt-wj9ByIVpbfGc)
21. Introduction to Reinforcement Learning (S2021) Amir-massoud Farahmand, Vector Institute, University of Toronto Course WebPage – [RL-intro](https://amfarahmand.github.io/IntroRL) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLCveiXxL2xNbiDq51a8iJwPRq2aO0ykrq)
22. Reinforcement Learning (2021) Antonio Celani and Emanuele Panizon, International Centre for Theoretical Physics Course WebPage – None Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLp0hSY2uBeP8q2G3mfHGVGvQFEMX0QRWM)
23. Computational Sensorimotor Learning (S2021) Pulkit Agrawal, MIT-CSAIL Course WebPage – [6.884-CSL](https://pulkitag.github.io/6.884/lectures) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLwNwxAG-kBxPMTIs2fKWSsf7HqL2TcC78)
24. Reinforcement Learning (S2021) Dimitri P. Bertsekas, ASU/MIT Course WebPage – [RL-21](http://web.mit.edu/dimitrib/www/RLbook.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLmH30BG15SIp79JRJ-MVF12uvB1qPtPzn)
25. Reinforcement Learning (F2021) Sarath Chandar, École Polytechnique de Montréal Course WebPage – [INF8953DE](https://chandar-lab.github.io/INF8953DE) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLImtCgowF_ES_JdF_UcM60EXTcGZg67Ua)
26. Deep Reinforcement Learning (F2021) Sergey Levine, UC Berkeley Course WebPage – [CS 285](http://rail.eecs.berkeley.edu/deeprlcourse) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL_iWQOsE6TfXxKgI1GgyV1B_Xa0DxE5eH)
27. Reinforcement Learning Lecture Series (2021) Lots of Legends, DeepMind & UC London Course WebPage – [RL-series](https://deepmind.com/learning-resources/reinforcement-learning-series-2021) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLqYmG7hTraZDVH599EItlEWsUOsJbAodm)
28. Reinforcement Learning (S2022) Dimitri P. Bertsekas, ASU/MIT Course WebPage – [RL-22](http://web.mit.edu/dimitrib/www/RLbook.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLmH30BG15SIoXhxLldoio0BhsIY84YMDj)
# 6. Probabilistic Graphical Models
1. Probabilistic Graphical Models (2013) Many Legends, MPI-IS Course WebPage – [MLSS-Tuebingen](http://mlss.tuebingen.mpg.de/2013/2013/speakers.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLL0GjJzXhAWTRiW_ynFswMaiLSa0hjCZ3)
2. Probabilistic Modeling and Machine Learning (2013) Zoubin Ghahramani, University of Cambridge Course WebPage – [WUST-Wroclaw](https://www.ii.pwr.edu.pl/~gonczarek/zoubin.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLwUOK5j_XOsdfVAGKErx9HqnrVZIuRbZ2)
3. Probabilistic Graphical Models (2014) Eric Xing, CMU Course WebPage – [10-708](http://www.cs.cmu.edu/~epxing/Class/10708/lecture.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLI3nIOD-p5aoXrOzTd1P6CcLavu9rNtC-)
4. Learning with Structured Data: An Introduction to Probabilistic Graphical Models (2016) Christoph Lampert, IST Austria Course WebPage – None Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLEqoHzpnmTfA0wc1JxjoVVOrJlx8W0rGf)
5. Probabilistic Graphical Models (2018) Nicholas Zabaras, University of Notre Dame Course WebPage – [PGM](https://www.zabaras.com/probabilistic-graphical-models) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLd-PuDzW85AcV4bgdu7wHPL37hm60W4RM)
6. Probabilistic Graphical Models (S2019) Eric Xing, CMU Course WebPage – [10-708](https://sailinglab.github.io/pgm-spring-2019/) Lecture Video – [Lecture-Videos](https://sailinglab.github.io/pgm-spring-2019/lectures) / [YouTube-Lectures](https://www.youtube.com/playlist?list=PLoZgVqqHOumTY2CAQHL45tQp6kmDnDcqn)
7. Probabilistic Graphical Models (S2020) Eric Xing, CMU Course WebPage – [10-708](https://www.cs.cmu.edu/~epxing/Class/10708-20/index.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLoZgVqqHOumTqxIhcdcpOAJOOimrRCGZn)
8. Uncertainty Modeling in AI (2020–21) Gim Hee Lee, National University of Singapura (NUS) Course WebPage – [CS 5340 - CH](https://www.coursehero.com/sitemap/schools/2652-National-University-of-Singapore/courses/7821096-CS5340/) / [CS 5340-NB](https://github.com/clear-nus/CS5340-notebooks) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLxg0CGqViygOb9Eyc8IXM27doxjp2SK0H)
# 7. Bayesian Deep Learning
1. Bayesian Neural Networks, Variational Inference (2014–now) Lots of Legends Course WebPage – None Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLM4Pv4KYYzGwUB4bFy183hwGhpL9ytvA1)
2. Variational Inference (2015) Chieh Wu, Northeastern University Course WebPage – None Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLdk2fd27CQzSd1sQ3kBYL4vtv6GjXvPsE)
3. Deep Learning and Bayesian Methods (2018) Lots of Legends, HSE Moscow Course WebPage – [DLBM-SS](http://deepbayes.ru/2018) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLe5rNUydzV9Q01vWCP9BV7NhJG3j7mz62)
4. Deep Learning and Bayesian Methods (2019) Lots of Legends, HSE Moscow Course WebPage – [DLBM-SS](http://deepbayes.ru/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLe5rNUydzV9QHe8VDStpU0o8Yp63OecdW)
5. Nordic Probabilistic AI (2019) Lots of Legends, NTNU, Trondheim Course WebPage – [ProbAI](https://github.com/probabilisticai/probai-2019) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLRy-VW__9hV8s--JkHXZvnd26KgjRP2ik)
# 8. Medical Imaging
1. Medical Imaging Summer School (2014) Lots of Legends, Sicily Course WebPage – [MISS-14](http://iplab.dmi.unict.it/miss14/programme.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL_VeUGLULXQtvcCdAgmvKoJ1k0Ajhz-Qu)
2. Biomedical Image Analysis Summer School (2015) Lots of Legends, Paris Course WebPage – None Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgSHH6boFf5uJAUT4ZRiAZc_ofXolkAGK)
3. Medical Imaging Summer School (2016) Lots of Legends, Sicily Course WebPage – [MISS-16](http://iplab.dmi.unict.it/miss16/programme.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLTRCr47yTx5iXIYSneX3LKf16upaw59wa)
4. OPtical and UltraSound imaging - OPUS (2016) Lots of Legends, Université de Lyon, France Course WebPage – [OPUS'16](https://opus2016lyon.sciencesconf.org/resource/page/id/2) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL95ayoVLX8GdUKbxu-R9WqRWwzdWcKjti)
5. Medical Imaging Summer School (2018) Lots of Legends, Sicily Course WebPage – [MISS-18](http://iplab.dmi.unict.it/miss/programme.htm) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL_VeUGLULXQux1dV4iA3XuMX6AueJmGGa)
6. Seminar on AI in Healthcare (2018) Lots of Legends, Stanford Course WebPage – [CS 522](http://cs522.stanford.edu/2018/index.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLYn-ZmPR1DtNQJ-ot-L2V2EgUEH6OH_7w)
7. Machine Learning for Healthcare (S2019) David Sontag, Peter Szolovits, CSAIL MIT Course WebPage – [MLHC-19](https://mlhc19mit.github.io/) / [MIT 6.S897](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-s897-machine-learning-for-healthcare-spring-2019/lecture-notes/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLUl4u3cNGP60B0PQXVQyGNdCyCTDU1Q5j)
8. Deep Learning and Medical Applications (2020) Lots of Legends, IPAM, UCLA Course WebPage – [DLM-20](https://www.ipam.ucla.edu/programs/workshops/deep-learning-and-medical-applications/?tab=schedule) Lecture Video – [Lecture-Videos](https://www.ipam.ucla.edu/programs/workshops/deep-learning-and-medical-applications/?tab=schedule) (same as webpage)
9. Stanford Symposium on Artificial Intelligence in Medicine and Imaging (2020) Lots of Legends, Stanford AIMI Course WebPage – [AIMI-20](https://aimi.stanford.edu/news-events/aimi-symposium/agenda) Lecture Video – [YouTube-Lectures](https://www.youtube.com/watch?v=tR2ObiL4il8&list=PLe6zdIMe5B7IR0oDOobXBDBlYY1eqLYPx)
# 9. Graph Neural Networks (Geometric DL)
1. Deep learning on graphs and manifolds (2017) Michael Bronstein, Technion Course WebPage – None Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLH39kM3nuavcVOUIIBraBNHjv-CwEd1uV)
2. Geometric Deep Learning on Graphs and Manifolds (2017) Michael Bronstein, Technische Universität München Course WebPage – None Lecture Video – [Lec-part1](https://streams.tum.de/Mediasite/Play/1f3b894e78f6400daa7885c886b936fb1d) / [Lec-part2](https://streams.tum.de/Mediasite/Play/6039c846b2f84e7a806024c06e3f5c5c1d)
3. Eurographics Symposium on Geometry Processing - Graduate School (2017) Lots of Legends, SIGGRAPH, London Course WebPage – [SGP-2017](http://geometry.cs.ucl.ac.uk/SGP2017/?p=gradschool) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLOp-ngXvomHArqntgLVNzuJNdzNx3rDjZ)
4. Eurographics Symposium on Geometry Processing - Graduate School (2018) Lots of Legends, SIGGRAPH, Paris Course WebPage – [SGP-2018](https://sgp2018.sciencesconf.org/resource/page/id/7) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLvcoRb-DvAmgpp8LYw7dUvLxh-1Vrrm-v)
5. Analysis of Networks: Mining and Learning with Graphs (2018) Jure Leskovec, Stanford University Course WebPage – [CS224W](http://snap.stanford.edu/class/cs224w-2018/) Lecture Video – [Lecture-Videos](http://snap.stanford.edu/class/cs224w-2018/) (same as webpage)
6. Machine Learning with Graphs (2019) Jure Leskovec, Stanford University Course WebPage – [CS224W](http://snap.stanford.edu/class/cs224w-2019/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL-Y8zK4dwCrQyASidb2mjj_itW2-YYx6-)
7. Geometry and Learning from Data in 3D and Beyond – Geometry and Learning from Data Tutorials (2019) Lots of Legends, IPAM UCLA Course WebPage – [GLDT](http://www.ipam.ucla.edu/programs/workshops/geometry-and-learning-from-data-tutorials) Lecture Video – [Lecture-Videos](http://www.ipam.ucla.edu/programs/workshops/geometry-and-learning-from-data-tutorials/?tab=schedule)
8. Geometry and Learning from Data in 3D and Beyond – Geometric Processing (2019) Lots of Legends, IPAM UCLA Course WebPage – [GeoPro](http://www.ipam.ucla.edu/programs/workshops/workshop-i-geometric-processing/) Lecture Video – [Lecture-Videos](http://www.ipam.ucla.edu/programs/workshops/workshop-i-geometric-processing/?tab=schedule)
9. Geometry and Learning from Data in 3D and Beyond – Shape Analysis (2019) Lots of Legends, IPAM UCLA Course WebPage – [Shape-Analysis](http://www.ipam.ucla.edu/programs/workshops/workshop-ii-shape-analysis/) Lecture Video – [Lecture-Videos](http://www.ipam.ucla.edu/programs/workshops/workshop-ii-shape-analysis/?tab=schedule)
10. Geometry and Learning from Data in 3D and Beyond – Geometry of Big Data (2019) Lots of Legends, IPAM UCLA Course WebPage – [Geo-BData](http://www.ipam.ucla.edu/programs/workshops/workshop-iii-geometry-of-big-data) Lecture Video – [Lecture-Videos](http://www.ipam.ucla.edu/programs/workshops/workshop-iii-geometry-of-big-data/?tab=schedule)
11. Geometry and Learning from Data in 3D and Beyond – Deep Geometric Learning of Big Data and Applications (2019) Lots of Legends, IPAM UCLA Course WebPage – [DGL-BData](http://www.ipam.ucla.edu/programs/workshops/workshop-iv-deep-geometric-learning-of-big-data-and-applications) Lecture Video – [Lecture-Videos](http://www.ipam.ucla.edu/programs/workshops/workshop-iv-deep-geometric-learning-of-big-data-and-applications/?tab=schedule)
12. Israeli Geometric Deep Learning (2020) Lots of Legends, Israel Course WebPage – [iGDL-20](https://gdl-israel.github.io/schedule.html) Lecture Video – [Lecture-Videos](https://www.youtube.com/watch?v=c8_32IVn-sg)
13. Machine Learning for Graphs and Sequential Data (S2020) Stephan Günnemann, Technische Universität München (TUM) Course WebPage – [MLGS-20](https://www.in.tum.de/en/daml/teaching/summer-term-2020/machine-learning-for-graphs-and-sequential-data/) Lecture Video – [Lecture-Videos](https://www.in.tum.de/daml/teaching/mlgs/)
14. Machine Learning with Graphs (W2021) Jure Leskovec, Stanford Course WebPage – [CS224W](http://web.stanford.edu/class/cs224w) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLoROMvodv4rPLKxIpqhjhPgdQy7imNkDn)
15. Geometric Deep Learning - AMMI (2021) Lots of Legends, Virtual Course WebPage – [GDL-AMMI](https://geometricdeeplearning.com/lectures) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLn2-dEmQeTfQ8YVuHBOvAhUlnIPYxkeu3)
16. Summer School on Geometric Deep Learning (2021) Lots of Legends, DTU, DIKU & AAU Course WebPage – [GDL- DTU, DIKU & AAU](https://geometric-deep-learning.compute.dtu.dk/) Lecture Video – [Lecture-Videos](https://geometric-deep-learning.compute.dtu.dk/talks-and-materials)
17. Graph Neural Networks (F2021) Alejandro Ribeiro, University of Pennsylvania Course WebPage – [ESE 514](https://gnn.seas.upenn.edu/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/channel/UC_YPrqpiEqkeGOG1TCt0giQ/playlists)
# 10. Natural Language Processing
1. Computational Linguistics I (2013–2018) Jordan Boyd-Graber, University of Maryland Course WebPage – [CMS-723](http://users.umiacs.umd.edu/~jbg/teaching/CMSC_723/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLegWUnz91WfuPebLI97-WueAP90JO-15i)
2. Deep Learning for Natural Language Processing (2015–2017) Nils Reimers, TU Darmstadt Course WebPage – [DL4NLP](https://github.com/UKPLab/deeplearning4nlp-tutorial) Lecture Video – [YouTube-Lectures](https://www.youtube.com/channel/UC1zCuTrfpjT6Sv2kJk-JkvA/videos)
3. Deep Learning for Natural Language Processing (2017) Many Legends, DeepMind-Oxford Course WebPage – [DL-NLP](http://www.cs.ox.ac.uk/teaching/courses/2016-2017/dl/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL613dYIGMXoZBtZhbyiBqb0QtgK6oJbpm)
4. Deep Learning for Speech & Language (2017) UPC Barcelona Course WebPage – [DL-SL](https://telecombcn-dl.github.io/2017-dlsl/) Lecture Video – [Lecture-Videos](https://telecombcn-dl.github.io/2017-dlsl/) (same as webpage)
5. Neural Networks for Natural Language Processing (2017) Graham Neubig, CMU Course WebPage – [NN4NLP](http://www.phontron.com/class/nn4nlp2017/) / [Code](https://github.com/neubig/nn4nlp-code) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL8PYTP1V4I8ABXzdqtOpB_eqBlVAz_xPT)
6. Neural Networks for Natural Language Processing (2018) Graham Neubig, CMU Course WebPage – [NN4-NLP](http://www.phontron.com/class/nn4nlp2018/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL8PYTP1V4I8Ba7-rY4FoB4-jfuJ7VDKEE)
7. Deep Learning for NLP (2018) Min-Yen Kan, NUS Course WebPage – [CS-6101](https://www.comp.nus.edu.sg/~kanmy/courses/6101_1810/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLllwxvcS7ca5eD44KTCiT7Rmu_hFAafXB)
8. Neural Networks for Natural Language Processing (2019) Graham Neubig, CMU Course WebPage – [NN4NLP](http://www.phontron.com/class/nn4nlp2019/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL8PYTP1V4I8Ajj7sY6sdtmjgkt7eo2VMs)
9. Natural Language Processing with Deep Learning (2019) Abigail See, Chris Manning, Richard Socher, Stanford University Course WebPage – [CS224n](http://web.stanford.edu/class/cs224n/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLoROMvodv4rOhcuXMZkNm7j3fVwBBY42z)
10. Natural Language Understanding (S2019) Bill MacCartney and Christopher Potts Course WebPage – [CS224U](https://web.stanford.edu/class/cs224u) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLoROMvodv4rObpMCir6rNNUlFAn56Js20)
11. Neural Networks for Natural Language Processing (S2020) Graham Neubig, Carnegie Mellon University Course WebPage – [CS 11-747](http://www.phontron.com/class/nn4nlp2020/schedule.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL8PYTP1V4I8CJ7nMxMC8aXv8WqKYwj-aJ)
12. Advanced Natural Language Processing (F2020) Mohit Iyyer, UMass Amherst Course WebPage – [CS 685](https://people.cs.umass.edu/~miyyer/cs685) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLWnsVgP6CzadmQX6qevbar3_vDBioWHJL)
13. Machine Translation (F2020) Philipp Koehn, Johns Hopkins University Course WebPage – [EN 601.468/668](http://mt-class.org/jhu/syllabus.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLQrCiUDqDLG0lQX54o9jB4phJ-SLI6ZBQ)
14. Neural Networks for NLP (2021) Graham Neubig, Carnegie Mellon University Course WebPage – [CS 11-747](http://www.phontron.com/class/nn4nlp2021) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL8PYTP1V4I8AkaHEJ7lOOrlex-pcxS-XV)
15. Deep Learning for Natural Language Processing (F2021) Kyunghyun Cho, New York University Course WebPage – [DS-GA 1011](https://drive.google.com/drive/folders/1ykXBtophaY_65VHK_8yDzZQJwfJDD5Ve) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLdH9u0f1XKW_s-c8EcgJpn_HJz5Jj1IRf)
16. Natural Language Processing with Deep Learning (2021) Chris Manning, Stanford University Course WebPage – [CS224n](https://web.stanford.edu/class/archive/cs/cs224n/cs224n.1214/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLoROMvodv4rOSH4v6133s9LFPRHjEmbmJ)
# 11. Automatic Speech Recognition
1. Deep Learning for Speech & Language (2017) UPC Barcelona Course WebPage – [DL-SL](https://telecombcn-dl.github.io/2017-dlsl/) Lecture Video – [Lecture-Videos](https://telecombcn-dl.github.io/2017-dlsl/) / [YouTube-Videos](https://www.youtube.com/playlist?list=PL-5DCZHuHZkWeF9ljIjoC_X5gHRLNtIkU)
2. Speech and Audio in the Northeast (2015) Many Legends, Google NYC Course WebPage – [SANE-15](http://www.saneworkshop.org/sane2015/) Lecture Video – [YouTube-Videos](https://www.youtube.com/playlist?list=PLBJWRPcgwk7sZOB4UTVilWWnRg84L9o5i)
3. Automatic Speech Recognition (2016) Samudra Vijaya K, TIFR Course WebPage – None Lecture Video – [YouTube-Videos](https://www.youtube.com/channel/UCHk6uq1Cr9J3k5KNmIsYUNw/videos)
4. Speech and Audio in the Northeast (2017) Many Legends, Google NYC Course WebPage – [SANE-17](http://www.saneworkshop.org/sane2017/) Lecture Video – [YouTube-Videos](https://www.youtube.com/playlist?list=PLBJWRPcgwk7tNLaBVu_S90ZQSblO3bwjg)
5. Speech and Audio in the Northeast (2018) Many Legends, Google Cambridge Course WebPage – [SANE-18](http://www.saneworkshop.org/sane2018/) Lecture Video – [YouTube-Videos](https://www.youtube.com/playlist?list=PLBJWRPcgwk7sjMANn8jqosyHIMe6DJhmn)
6. Deep Learning for Speech Recognition (2015–2018) Many Legends, AoE Course WebPage – None Lecture Video – [YouTube-Videos](https://www.youtube.com/playlist?list=PLM4Pv4KYYzGyFYCXV6YPWAKVOR2gmHnQd)
# 12. Modern Computer Vision
1. Microsoft Computer Vision Summer School - (classical) (2011) Lots of Legends, Lomonosov Moscow State University Course WebPage – None Lecture Video – [YouTube-Videos](https://www.youtube.com/playlist?list=PLbwKcm5vdiSYU54xFUG1zoxQTulqvIcJu) / [Russian-mirror](https://www.youtube.com/playlist?list=PL-_cKNuVAYAUp0eCL7KO8QY4ETY3tIDFH)
2. Computer Vision - (classical) (2012) Mubarak Shah, UCF Course WebPage – [CAP-5415](http://crcv.ucf.edu/courses/CAP5415/Fall2012/index.php) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLd3hlSJsX_Imk_BPmB_H3AQjFKZS9XgZm)
3. Image and Multidimensional Signal Processing - (classical) (2012) William Hoff, Colorado School of Mines Course WebPage – [CSCI 510/EENG 510](http://inside.mines.edu/~whoff/courses/EENG510) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLyED3W677ALNv8Htn0f9Xh-AHe1aZPftv)
4. Computer Vision - (classical) (2012) William Hoff, Colorado School of Mines Course WebPage – [CSCI 512/EENG 512](http://inside.mines.edu/~whoff/courses/EENG512/index.htm) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL4B3F8D4A5CAD8DA3)
5. Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital (2013) Guillermo Sapiro, Duke University Course WebPage – None Lecture Video – [YouTube-Videos](https://www.youtube.com/playlist?list=PLZ9qNFMHZ-A79y1StvUUqgyL-O0fZh2rs)
6. Multiple View Geometry (classical) (2013) Daniel Cremers, Technische Universität München Course WebPage – [mvg](https://vision.in.tum.de/teaching/ss2014/mvg2014) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLTBdjV_4f-EJn6udZ34tht9EVIW7lbeo4)
7. Mathematical Methods for Robotics, Vision, and Graphics (2013) Justin Solomon, Stanford University Course WebPage – [CS-205A](http://graphics.stanford.edu/courses/cs205a/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLQ3UicqQtfNvQ_VzflHYKhAqZiTxOkSwi)
8. Computer Vision - (classical) (2014) Mubarak Shah, UCF Course WebPage – [CAP-5415](http://crcv.ucf.edu/courses/CAP5415/Fall2014/index.php) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLd3hlSJsX_ImKP68wfKZJVIPTd8Ie5u-9)
9. Computer Vision for Visual Effects (classical) (S2014) Rich Radke, Rensselaer Polytechnic Institute Course WebPage – [ECSE-6969](https://www.ecse.rpi.edu/~rjradke/cvfxcourse.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLuh62Q4Sv7BUJlKlt84HFqSWfW36MDd5a)
10. Autonomous Navigation for Flying Robots (2014) Juergen Sturm, Technische Universität München Course WebPage – [Autonavx](https://jsturm.de/wp/teaching/autonavx-slides/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLTBdjV_4f-EKBCUs1HmMtsnXv4JUoFrzg)
11. SLAM - Mobile Robotics (2014) Cyrill Stachniss, Universitaet Freiburg Course WebPage – [RobotMapping](http://ais.informatik.uni-freiburg.de/teaching/ws13/mapping/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgnQpQtFTOGQrZ4O5QzbIHgl3b1JHimN_)
12. Computational Photography (2015) Irfan Essa, David Joyner, Arpan Chakraborty Course WebPage – [CP-Udacity](https://eu.udacity.com/course/computational-photography--ud955) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLAwxTw4SYaPn-unAWtRMleY4peSe4OzIY)
13. Introduction to Digital Image Processing (S2015) Rich Radke, Rensselaer Polytechnic Institute Course WebPage – [ECSE-4540](https://www.ecse.rpi.edu/~rjradke/improccourse.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLuh62Q4Sv7BUf60vkjePfcOQc8sHxmnDX)
14. Lectures on Digital Photography (2016) Marc Levoy, Stanford/Google Research Course WebPage – [LoDP](https://sites.google.com/site/marclevoylectures/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL7ddpXYvFXspUN0N-gObF1GXoCA-DA-7i)
15. Introduction to Computer Vision (foundation) (2016) Aaron Bobick, Irfan Essa, Arpan Chakraborty Course WebPage – [CV-Udacity](https://eu.udacity.com/course/introduction-to-computer-vision--ud810) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLAwxTw4SYaPnbDacyrK_kB_RUkuxQBlCm)
16. Computer Vision (2016) Syed Afaq Ali Shah, University of Western Australia Course WebPage – None Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLvqB6_mDBCdlnT84LK_NvbOqcXLlOTR8j)
17. Photogrammetry I & II (2016) Cyrill Stachniss, University of Bonn Course WebPage – [PG-I&II](https://www.ipb.uni-bonn.de/photogrammetry-i-ii/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgnQpQtFTOGRsi5vzy9PiQpNWHjq-bKN1)
18. Deep Learning for Computer Vision (2016–2018) UPC Barcelona Course WebPage – [DLCV-16](http://imatge-upc.github.io/telecombcn-2016-dlcv/) / [DLCV-17](https://telecombcn-dl.github.io/2017-dlcv/) / [DLCV-18](https://telecombcn-dl.github.io/2018-dlcv/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL-5eMc3HQTBbuaTFP4wsfD2Y2VqEfQcaP)
19. Convolutional Neural Networks (2017) Andrew Ng, Stanford University Course WebPage – [DeepLearning.AI](https://www.deeplearning.ai/deep-learning-specialization/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLkDaE6sCZn6Gl29AoE31iwdVwSG-KnDzF)
20. Variational Methods for Computer Vision (2017) Daniel Cremers, Technische Universität München Course WebPage – [VMCV](https://vision.in.tum.de/teaching/ws2016/vmcv2016) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLTBdjV_4f-EJ7A2iIH5L5ztqqrWYjP2RI)
21. Winter School on Computer Vision (2017) Lots of Legends, Israel Institute for Advanced Studies Course WebPage – [WS-CV](http://www.as.huji.ac.il/cse) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLTn74Qx5mPsSniA5tt6W-o0OGYEeKScug)
22. Deep Learning for Visual Computing (2018) Debdoot Sheet, IIT-Kgp Course WebPage – [Nptel](https://onlinecourses.nptel.ac.in/noc18_ee08/preview) / [Notebooks](https://github.com/iitkliv/dlvcnptel) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLuv3GM6-gsE1Biyakccxb3FAn4wBLyfWf)
23. The Ancient Secrets of Computer Vision (2018) Joseph Redmon, Ali Farhadi Course WebPage – [TASCV](https://pjreddie.com/courses/computer-vision/) / [TASCV-UW](https://courses.cs.washington.edu/courses/cse455/18sp/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLjMXczUzEYcHvw5YYSU92WrY8IwhTuq7p)
24. Modern Robotics (2018) Kevin Lynch, Northwestern Robotics Course WebPage – [modern-robot](http://hades.mech.northwestern.edu/index.php/Modern_Robotics) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLggLP4f-rq02vX0OQQ5vrCxbJrzamYDfx)
25. Digital Image Processing (2018) Alex Bronstein, Technion Course WebPage – [CS236860](https://vistalab-technion.github.io/cs236860/info/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLM0a6Z788YAZOxUyWda9y3N_i2upIj1Ep)
26. Mathematics of Imaging - Variational Methods and Optimization in Imaging (2019) Lots of Legends, Institut Henri Poincaré Course WebPage – [Workshop-1](http://www.ihp.fr/sites/default/files/conf1-04_au_08_fevr-imaging2019.pdf) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL9kd4mpdvWcAzD5Aq-P1TrLLiYckrloxw)
27. Deep Learning for Video (2019) Xavier Giró, UPC Barcelona Course WebPage – [deepvideo](https://mcv-m6-video.github.io/deepvideo-2019/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL-5eMc3HQTBbPY-627Gornj09pZrNQgPD)
28. Statistical modeling for shapes and imaging (2019) Lots of Legends, Institut Henri Poincaré, Paris Course WebPage – [workshop-2](https://imaging-in-paris.github.io/semester2019/workshop2prog) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL9kd4mpdvWcAzD5Aq-P1TrLLiYckrloxw)
29. Imaging and machine learning (2019) Lots of Legends, Institut Henri Poincaré, Paris Course WebPage – [workshop-3](https://imaging-in-paris.github.io/semester2019/workshop3prog) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL9kd4mpdvWcAzD5Aq-P1TrLLiYckrloxw)
30. Computer Vision (2019) Jayanta Mukhopadhyay, IIT Kgp Course WebPage – [CV-nptel](https://nptel.ac.in/courses/106/105/106105216/) Lecture Video – [YouTube-Lectures](https://nptel.ac.in/courses/106/105/106105216/) (same as webpage)
31. Deep Learning for Computer Vision (2019) Justin Johnson, UMichigan Course WebPage – [EECS 498-007](https://web.eecs.umich.edu/~justincj/teaching/eecs498/) Lecture Video – [Lecture-Videos](http://leccap.engin.umich.edu/leccap/site/jhygcph151x25gjj1f0) / [YouTube-Lectures](https://www.youtube.com/playlist?list=PL5-TkQAfAZFbzxjBHtzdVCWE0Zbhomg7r)
32. Sensors and State Estimation 2 (S2020) Cyrill Stachniss, University of Bonn Course WebPage – None Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgnQpQtFTOGQh_J16IMwDlji18SWQ2PZ6)
33. Computer Vision III: Detection, Segmentation and Tracking (S2020) Laura Leal-Taixé, TU München Course WebPage – [CV3DST](https://dvl.in.tum.de/teaching/cv3dst-ss20/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLog3nOPCjKBneGyffEktlXXMfv1OtKmCs)
34. Advanced Deep Learning for Computer Vision (S2020) Laura Leal-Taixé and Matthias Nießner, TU München Course WebPage – [ADL4CV](https://dvl.in.tum.de/teaching/adl4cv-ss20) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLog3nOPCjKBnjhuHMIXu4ISE4Z4f2jm39)
35. Computer Vision: Foundations (SS2020) Fred Hamprecht, Universität Heidelberg Course WebPage – [CVF](https://hci.iwr.uni-heidelberg.de/ial/cvf) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLuRaSnb3n4kRAbnmiyGd77hyoGzO9wPde)
36. MIT Vision Seminar (2015–now) Lots of Legends, MIT Course WebPage – [MIT-Vision](https://sites.google.com/view/visionseminar/past-talks) Lecture Video – [YouTube-Lectures](https://www.youtube.com/channel/UCLMiFkFyfcNnZs6iwYLPI9g/videos)
37. TUM AI Guest Lectures (2020 – now) Lots of Legends, Technische Universität München Course WebPage – [TUM-AI](https://niessner.github.io/TUM-AI-Lecture-Series) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLQ8Y4kIIbzy8kMlz7cRqz-BjbdyWsfLXt)
38. Seminar on 3D Geometry & Vision (2020 – now) Lots of Legends, Virtual Course WebPage – [3DGV seminar](https://3dgv.github.io/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLZk0jtN0g8e-xVTfsiV67q8Iz1cZO_FpV)
39. Event-based Robot Vision (2020 – now) Guillermo Gallego, Technische Universität Berlin Course WebPage – [EVIS-SS20](https://sites.google.com/view/guillermogallego/teaching/event-based-robot-vision) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL03Gm3nZjVgUFYUh3v5x8jVonjrGfcal8)
40. Deep Learning for Computer Vision (2020) Vineeth Balasubramanian, IIT Hyderabad Course WebPage – [DL-CV'20](https://onlinecourses.nptel.ac.in/noc20_cs88/preview) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLyqSpQzTE6M_PI-rIz4O1jEgffhJU9GgG)
41. Deep Learning for Visual Computing (2020) Peter Wonka, KAUST, SA Course WebPage – None Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLMpQLEui13s2DHbw6kTTxwQma8rehlfZE)
42. Computer Vision (F2020) Yogesh Rawat, University of Central Florida Course WebPage – [CAP5415-CV](https://www.crcv.ucf.edu/courses/cap5415-fall-2020/schedule/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLd3hlSJsX_Ikm5il1HgmDB_z62BeoikFX)
43. Multimedia Signal Processing (F2020) Mark Hasegawa-Johnson, UIUC Course WebPage – [ECE-417 MSP](https://courses.engr.illinois.edu/ece417/fa2020/) Lecture Video – [Lecture Videos](https://mediaspace.illinois.edu/channel/ECE 417/26816181)
44. Computer Vision (S2021) Andreas Geiger, Universität Tübingen Course WebPage – [Comp.Vis](https://uni-tuebingen.de/fakultaeten/mathematisch-naturwissenschaftliche-fakultaet/fachbereiche/informatik/lehrstuehle/autonomous-vision/lectures/computer-vision/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL05umP7R6ij35L2MHGzis8AEHz7mg381_)
45. 3D Computer Vision (2021) Lee Gim Hee, National University of Singapura Course WebPage – None Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLxg0CGqViygP47ERvqHw_v7FVnUovJeaz)
46. Deep Learning for Computer Vision: Fundamentals and Applications (S2021) T. Dekel et al., Weizmann Institute of Science Course WebPage – [DL4CV](https://dl4cv.github.io/schedule.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL_Z2_U9MIJdNgFM7-f2fZ9ZxjVRP_jhJv)
47. Current Topics in ML Methods in 3D and Geometric Deep Learning (2021) Animesh Garg & others, University of Toronto Course WebPage – [CSC 2547](http://www.pair.toronto.edu/csc2547-w21) Lecture Video – [YouTube-Lectures](https://www.youtube.com/channel/UCrsmAXnwu6sgccWevW12Dfg/videos)
48. First Principles of Computer Vision (2021) Shree K. Nayar, Columbia University Course WebPage – [FPCV](https://fpcv.cs.columbia.edu/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/channel/UCf0WB91t8Ky6AuYcQV0CcLw/videos)
49. Self-Driving Cars (W2021) Andreas Geiger, Universität Tübingen Course WebPage – [SDC'21](https://uni-tuebingen.de/de/123611) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL05umP7R6ij321zzKXK6XCQXAaaYjQbzr)
# 13. Boot Camps or Summer Schools
1. Deep Learning, Feature Learning (2012) Lots of Legends, IPAM UCLA Course WebPage – [GSS-2012](https://www.ipam.ucla.edu/programs/summer-schools/graduate-summer-school-deep-learning-feature-learning/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLHyI3Fbmv0SdzMHAy0aN59oYnLy5vyyTA)
2. Big Data Boot Camp (2013) Lots of Legends, Simons Institute Course WebPage – [Big Data](https://simons.berkeley.edu/workshops/schedule/316) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgKuh-lKre13RmUC2AybRvVAxO5DEMIBH)
3. Machine Learning Summer School (2013) Lots of Legends, MPI-IS Tübingen Course WebPage – [MLSS-13](http://mlss.tuebingen.mpg.de/2013/2013/index.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLqJm7Rc5-EXFv6RXaPZzzlzo93Hl0v91E)
4. Graduate Summer School: Computer Vision (2013) Lots of Legends, IPAM-UCLA Course WebPage – [GSS-CV](http://www.ipam.ucla.edu/programs/summer-schools/graduate-summer-school-computer-vision/) Lecture Video – [Video-Lectures](http://www.ipam.ucla.edu/programs/summer-schools/graduate-summer-school-computer-vision/?tab=schedule)
5. Machine Learning Summer School (2014) Lots of Legends, Reykjavik University Course WebPage – [MLSS-14](http://mlss2014.hiit.fi/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLqdbxUnkqOw2nKn7VxYqIrKWcqRkQYOsF)
6. Machine Learning Summer School (2014) Lots of Legends, Pittsburgh Course WebPage – [MLSS-14](http://www.mlss2014.com/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLZSO_6-bSqHQCIYxE3ycGLXHMjK3XV7Iz)
7. Deep Learning Summer School (2015) Lots of Legends, Université de Montréal Course WebPage – [DLSS-15](https://sites.google.com/site/deeplearningsummerschool/home) Lecture Video – [YouTube-Lectures](http://videolectures.net/deeplearning2015_montreal/)
8. Biomedical Image Analysis Summer School (2015) Lots of Legends, CentraleSupelec, Paris Course WebPage – None Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgSHH6boFf5uJAUT4ZRiAZc_ofXolkAGK)
9. Mathematics of Signal Processing (2016) Lots of Legends, Hausdorff Institute for Mathematics Course WebPage – [SigProc](http://www.him.uni-bonn.de/signal-processing-2016/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLul8LCT3AJqSQo3lr5RbwxJ92RsgRuDtx)
10. Microsoft Research - Machine Learning Course (2016) S V N Vishwanathan and Prateek Jain MS-Research Course WebPage – None Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL34iyE0uXtxo7vPXGFkmm6KbgZQwjf9Kf)
11. Deep Learning Summer School (2016) Lots of Legends, Université de Montréal Course WebPage – [DL-SS-16](https://sites.google.com/site/deeplearningsummerschool2016/home) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL5bqIc6XopCbb-FvnHmD1neVlQKwGzQyR)
12. Lisbon Machine Learning School (2016) Lots of Legends, Instituto Superior Técnico, Portugal Course WebPage – [LxMLS-16](http://lxmls.it.pt/2016/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLToLj8M4ao-fymxXBIOU6sF1NGFLb5EiX)
13. Machine Learning Advances and Applications Seminar (2016–2017) Lots of Legends, Fields Institute, University of Toronto Course WebPage – [MLAAS-16](http://www.fields.utoronto.ca/activities/16-17/machine-learning) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLfsVAYSMwskuQcRkuDApP40lX_i08d0QK) / [Video-Lectures](http://www.fields.utoronto.ca/video-archive/event/2267)
14. Machine Learning Advances and Applications Seminar (2017–2018) Lots of Legends, Fields Institute, University of Toronto Course WebPage – [MLAAS-17](http://www.fields.utoronto.ca/activities/17-18/machine-learning) Lecture Video – [Video Lectures](http://www.fields.utoronto.ca/video-archive/event/2487)
15. Machine Learning Summer School (2017) Lots of Legends, MPI-IS Tübingen Course WebPage – [MLSS-17](http://mlss.tuebingen.mpg.de/2017/index.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLqJm7Rc5-EXFUOvoYCdKikfck8YeUCnl9)
16. Representation Learning (2017) Lots of Legends, Simons Institute Course WebPage – [RepLearn](https://simons.berkeley.edu/workshops/abstracts/3750) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgKuh-lKre13UNV4ztsWUXciUZ7x_ZDHz)
17. Foundations of Machine Learning (2017) Lots of Legends, Simons Institute Course WebPage – [ML-BootCamp](https://simons.berkeley.edu/workshops/abstracts/3748) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgKuh-lKre11GbZWneln-VZDLHyejO7YD)
18. Optimization, Statistics, and Uncertainty (2017) Lots of Legends, Simons Institute Course WebPage – [Optim-Stats](https://simons.berkeley.edu/workshops/abstracts/4795) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgKuh-lKre13ACD44z2FH-IVP1e8ip5JO)
19. Deep Learning: Theory, Algorithms, and Applications (2017) Lots of Legends, TU-Berlin Course WebPage – [DL: TAA](http://doc.ml.tu-berlin.de/dlworkshop2017/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLJOzdkh8T5kqCNV_v1w2tapvtJDZYiohW)
20. Deep Learning and Reinforcement Learning Summer School (2017) Lots of Legends, Université de Montréal Course WebPage – [DLRL-2017](https://mila.quebec/en/cours/deep-learning-summer-school-2017/) Lecture Video – [Lecture-videos](http://videolectures.net/deeplearning2017_montreal/)
21. Statistical Physics Methods in Machine Learning (2017) Lots of Legends, International Centre for Theoretical Sciences, TIFR Course WebPage – [SPMML](https://www.icts.res.in/discussion-meeting/SPMML2017) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL04QVxpjcnjhtL3IIVyFRMOgdhWtPn7YJ)
22. Lisbon Machine Learning School (2017) Lots of Legends, Instituto Superior Técnico, Portugal Course WebPage – [LxMLS-17](http://lxmls.it.pt/2017/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLToLj8M4ao-fuRfnzEJCCnvuW2_FeJ73N)
23. Interactive Learning (2017) Lots of Legends, Simons Institute, Berkeley Course WebPage – [IL-2017](https://simons.berkeley.edu/workshops/schedule/3749) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgKuh-lKre10T2POF-WzXh0ckdpyvANUx)
24. Computational Challenges in Machine Learning (2017) Lots of Legends, Simons Institute, Berkeley Course WebPage – [CCML-17](https://simons.berkeley.edu/workshops/schedule/3751) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgKuh-lKre12eXz4dnvc8oervo2_Af4iU)
25. Foundations of Data Science (2018) Lots of Legends, Simons Institute Course WebPage – [DS-BootCamp](https://simons.berkeley.edu/workshops/abstracts/6680) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgKuh-lKre13r1Qrnrejj3f498-NurSf3)
26. Deep Learning and Bayesian Methods (2018) Lots of Legends, HSE Moscow Course WebPage – [DLBM-SS](http://deepbayes.ru/2018/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLe5rNUydzV9Q01vWCP9BV7NhJG3j7mz62)
27. New Deep Learning Techniques (2018) Lots of Legends, IPAM UCLA Course WebPage – [IPAM-Workshop](https://www.ipam.ucla.edu/programs/workshops/new-deep-learning-techniques/?tab=schedule) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLHyI3Fbmv0SdM0zXj31HWjG9t9Q0v2xYN)
28. Deep Learning and Reinforcement Learning Summer School (2018) Lots of Legends, University of Toronto Course WebPage – [DLRL-2018](https://dlrlsummerschool.ca/2018-event/) Lecture Video – [Lecture-videos](http://videolectures.net/DLRLsummerschool2018_toronto/)
29. Machine Learning Summer School (2018) Lots of Legends, Universidad Autónoma de Madrid, Spain Course WebPage – [MLSS-18](http://mlss.ii.uam.es/mlss2018/index.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/channel/UCbPJHr__eIor_7jFH3HmVHQ/videos) / [Course-videos](http://mlss.ii.uam.es/mlss2018/speakers.html)
30. Theoretical Basis of Machine Learning (2018) Lots of Legends, International Centre for Theoretical Sciences, TIFR Course WebPage – [TBML-18](https://www.icts.res.in/discussion-meeting/tbml2018) Lecture Video – [Lecture-Videos](https://www.icts.res.in/discussion-meeting/tbml2018/talks) / [YouTube-Videos](https://www.youtube.com/playlist?list=PL04QVxpjcnjj1DgnXxFBo2fkSju4r-ggr)
31. Polish View on Machine Learning (2018) Lots of Legends, Warsaw Course WebPage – [PLinML-18](https://plinml.mimuw.edu.pl/) Lecture Video – [YouTube-Videos](https://www.youtube.com/playlist?list=PLoaWrlj9TDhPcA6N9dZQ6GPXboYuumDRp)
32. Big Data Analysis in Astronomy (2018) Lots of Legends, Tenerife Course WebPage – [BDAA-18](http://research.iac.es/winterschool/2018/pages/book-ws2018.php) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLM4Pv4KYYzGx42W5pSp3Itetp0u-PENtI)
33. Machine Learning Advances and Applications Seminar (2018–2019) Lots of Legends, Fields Institute, University of Toronto Course WebPage – [MLASS](http://www.fields.utoronto.ca/activities/18-19/machine-learning) Lecture Video – [Video Lectures](http://www.fields.utoronto.ca/video-archive/event/2681)
34. MIFODS- ML, Stats, ToC seminar (2018–2019) Lots of Legends, MIT Course WebPage – [MIFODS-seminar](http://mifods.mit.edu/seminar.php) Lecture Video – [Lecture-videos](http://mifods.mit.edu/seminar.php) (same as webpage)
35. Learning Machines Seminar Series (2018–now) Lots of Legends, Cornell Tech Course WebPage – [LMSS](https://lmss.tech.cornell.edu/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLycW2Yy79JuxbQZ9uHEu_NS3cGNomhL2A)
36. Machine Learning Summer School (2019) Lots of Legends, South Africa Course WebPage – [MLSS'19](https://mlssafrica.com/programme-schedule/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/channel/UC722CmQVgcLtxt_jXr3RyWg/videos)
37. Deep Learning Boot Camp (2019) Lots of Legends, Simons Institute, Berkeley Course WebPage – [DLBC-19](https://simons.berkeley.edu/workshops/schedule/10624) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgKuh-lKre12c2Il9mNX0Cmp9Z4oFNrQh)
38. Frontiers of Deep Learning (2019) Lots of Legends, Simons Institute, Berkeley Course WebPage – [FoDL-19](https://simons.berkeley.edu/workshops/schedule/10627) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgKuh-lKre11ekU7g-Z_qsvjDD8cT-hi9)
39. Mathematics of data: Structured representations for sensing, approximation and learning (2019) Lots of Legends, The Alan Turing Institute, London Course WebPage – [MoD-19](https://www.turing.ac.uk/sites/default/files/2019-05/agenda_9_3.pdf) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLuD_SqLtxSdX_w1Ztexpzl_EJgFQSkWez)
40. Deep Learning and Bayesian Methods (2019) Lots of Legends, HSE Moscow Course WebPage – [DLBM-SS](http://deepbayes.ru/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLe5rNUydzV9QHe8VDStpU0o8Yp63OecdW)
41. The Mathematics of Deep Learning and Data Science (2019) Lots of Legends, Isaac Newton Institute, Cambridge Course WebPage – [MoDL-DS](https://gateway.newton.ac.uk/event/ofbw46) Lecture Video – [Lecture-Videos](https://gateway.newton.ac.uk/event/ofbw46/programme)
42. Geometry of Deep Learning (2019) Lots of Legends, MSR Redmond Course WebPage – [GoDL](https://www.microsoft.com/en-us/research/event/ai-institute-2019) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLD7HFcN7LXRe30qq36It2XCljxc340O_d)
43. Deep Learning for Science School (2019) Many folks, LBNL, Berkeley Course WebPage – [DLfSS](https://dl4sci-school.lbl.gov/agenda) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL20S5EeApOSvfvEyhCPOUzU7zkBcR5-eL)
44. Emerging Challenges in Deep Learning (2019) Lots of Legends, Simons Institute, Berkeley Course WebPage – [ECDL](https://simons.berkeley.edu/workshops/schedule/10629) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgKuh-lKre10BpafDrv0fg2VNUweWXWVd)
45. Full Stack Deep Learning (2019) Pieter Abbeel and many others, UC Berkeley Course WebPage – [FSDL-M19](https://fullstackdeeplearning.com/march2019) Lecture Video – [YouTube-Lectures-Day-1](https://www.youtube.com/playlist?list=PL1T8fO7ArWlcf3Hc4VMEVBlH8HZm_NbeB) / [Day-2](https://www.youtube.com/playlist?list=PL1T8fO7ArWlf6TWwdstb-PcwlubnlrKrm)
46. Algorithmic and Theoretical aspects of Machine Learning (2019) Lots of legends, IIIT-Bengaluru Course WebPage – [ACM-ML](https://india.acm.org/education/machine-learning) / [nptel](https://nptel.ac.in/courses/128/106/128106011/) Lecture Video – [YouTube-Lectures](https://nptel.ac.in/courses/128/106/128106011)
47. Deep Learning and Reinforcement Learning Summer School (2019) Lots of Legends, AMII, Edmonton, Canada Course WebPage – [DLRL-2019](https://dlrlsummerschool.ca/past-years) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLKlhhkvvU8-aXmPQZNYG_e-2nTd0tJE8v)
48. Mathematics of Machine Learning - Summer Graduate School (2019) Lots of Legends, University of Washington Course WebPage – [MoML-SGS](http://www.msri.org/summer_schools/866#schedule) / [MoML-SS](http://mathofml.cs.washington.edu/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLTPQEx-31JXhguCush5J7OGnEORofoCW9)
49. Workshop on Theory of Deep Learning: Where next? (2019) Lots of Legends, IAS, Princeton University Course WebPage – [WTDL](https://www.math.ias.edu/wtdl) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLdDZb3TwJPZ5dqqg_S-rgJqSFeH4DQqFQ)
50. Computational Vision Summer School (2019) Lots of Legends, Black Forest, Germany Course WebPage – [CVSS-2019](http://orga.cvss.cc/program-cvss-2019/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLeCNfJWZKqxsvidOlVLtWq9s7sIsX1QTC)
51. Learning under complex structure (2020) Lots of Legends, MIT Course WebPage – [LUCS](https://mifods.mit.edu/complex.php) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLM4Pv4KYYzGwhIHcaY6zYR7M9hhFO4Vud)
52. Machine Learning Summer School (SS2020) Lots of Legends, MPI-IS Tübingen (virtual) Course WebPage – [MLSS](http://mlss.tuebingen.mpg.de/2020/schedule.html) Lecture Video – [YouTube-Lectures](https://www.youtube.com/channel/UCBOgpkDhQuYeVVjuzS5Wtxw/videos)
53. Eastern European Machine Learning Summer School (S2020) Lots of Legends, Kraków, Poland (virtual) Course WebPage – [EEML](https://www.eeml.eu/program) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLaKY4p4V3gE1j01FOY2FeglV4jRntQj84)
54. Lisbon Machine Learning Summer School (S2020) Lots of Legends, Lisbon, Portugal (virtual) Course WebPage – [LxMLS](http://lxmls.it.pt/2020/?page_id=19) Lecture Video – [YouTube-Lectures](https://www.youtube.com/channel/UCkVFZWgT1jR75UvSLGP9_mw)
55. Workshop on New Directions in Optimization, Statistics and Machine Learning (2020) Lots of Legends, Institute of Advanced Study, Princeton Course WebPage – [ML-Opt new dir.](https://www.ias.edu/video/workshop/2020/0415-16) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLdDZb3TwJPZ4Ri6i0MIdesIEpYK4lx17Q)
56. Mediterranean Machine Learning School (2021) Lots of Legends, Italy (virtual) Course WebPage – [M2L-school](https://www.m2lschool.org/talks) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLF-wkqRv4u1YRbfnwN8cXXyrmXld-sked)
57. Mathematics of Machine Learning - One World Seminar (2020 – now) Lots of Legends, Virtual Course WebPage – [1W-ML](https://sites.google.com/view/oneworldml/past-events) Lecture Video – [YouTube-Lectures](https://www.youtube.com/channel/UCz7WlgXs20CzugkfxhFCNFg/videos)
58. Deep Learning Theory Summer School (2021) Lots of Legends, Princeton University (virtual) Course WebPage – [DLT'21](https://deep-learning-summer-school.princeton.edu/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PL2mB9GGlueJj_FNjJ8RWgz4Nc_hCSXfMU)
# 14. Bird's Eye view of AGI
1. Artificial General Intelligence (2018–2019) Lots of Legends, MIT Course WebPage – [6.S099-AGI](https://agi.mit.edu/) Lecture Video – [Lecture-Videos](https://agi.mit.edu/) (same as webpage)
2. AI Podcast (2018–2019) Lots of Legends, MIT Course WebPage – [AI-Pod](https://lexfridman.com/ai/) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4)
3. NYU - AI Seminars (2017–now) Lots of Legends, NYU Course WebPage – [modern-AI](https://engineering.nyu.edu/academics/departments/electrical-and-computer-engineering/ece-seminar-series/modern-artificial) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLhwo5ntex8iY9xhpSwWas451NgVuqBE7U)
4. Deep Learning: Alchemy or Science? (2019) Lots of Legends, Institute for Advanced Study, Princeton Course WebPage – [DLAS](https://video.ias.edu/deeplearning/2019/0222) / [Agenda](https://www.math.ias.edu/tml/dlasagenda) Lecture Video – [YouTube-Lectures](https://www.youtube.com/playlist?list=PLdDZb3TwJPZ7aAxhIHALBoh8l6-UxmMNP)
# Final Takeaway – I Did the Work, Now You Do the Learning
Most people will bookmark this page, feel proud, and never watch a single lecture
Don’t be that person
Pick one course ➜ maybe CS231n if you love images, or David Silver’s RL if you prefer games, or NYU’s Deep Learning if you want LeCun’s perspective
Watch the first lecture today. Just one
Open the list. Choose your path. And start building the skills that actually get you hired ➜ without spending a cent
Follow [@sikamaratsai](https://x.com/@sikamaratsai) if you're interested in AI

S.NoCourse NameUniversity/Instructor(s)Course WebPageLecture VideosYear1.Deep Learning, Feature LearningLots of Legends, IPAM UCLA[GSS-2012](https://www.ipam.ucla.edu/programs/summer-schools/graduate-summer-school-deep-learning-feature-learning/)[YouTube-Lectures](https://www.youtube.com/playlist?list=PLHyI3Fbmv0SdzMHAy0aN59oYnLy5vyyTA)20122.Big Data Boot CampLots of Legends, Simons Institute[Big Data](https://simons.berkeley.edu/workshops/schedule/316)[YouTube-Lectures](https://www.youtube.com/playlist?list=PLgKuh-lKre13RmUC2AybRvVAxO5DEMIBH)20133.Machine Learning Summer SchoolLots of Legends, MPI-IS Tübingen[MLSS-13](http://mlss.tuebingen.mpg.de/2013/2013/index.html)[YouTube-Lectures](https://www.youtube.com/playlist?list=PLqJm7Rc5-EXFv6RXaPZzzlzo93Hl0v91E)20134Graduate Summer School: Computer VisionLots of Legends, IPAM-UCLA[GSS-CV](http://www.ipam.ucla.edu/programs/summer-schools/graduate-summer-school-computer-vision/)[Video-Lectures](http://www.ipam.ucla.edu/programs/summer-schools/graduate-summer-school-computer-vision/?tab=schedule)20135.Machine Learning Summer SchoolLots of Legends, Reykjavik University[MLSS-14](http://mlss2014.hiit.fi/)[YouTube-Lectures](https://www.youtube.com/playlist?list=PLqdbxUnkqOw2nKn7VxYqIrKWcqRkQYOsF)20146.Machine Learning Summer SchoolLots of Legends, Pittsburgh[MLSS-14](http://www.mlss2014.com/)[YouTube-Lectures](https://www.youtube.com/playlist?list=PLZSO_6-bSqHQCIYxE3ycGLXHMjK3XV7Iz)20147.Deep Learning Summer SchoolLots of Legends, Université de Montréal[DLSS-15](https://sites.google.com/site/deeplearningsummerschool/home)[YouTube-Lectures](http://videolectures.net/deeplearning2015_montreal/)20158.Biomedical Image Analysis Summer SchoolLots of Legends, CentraleSupelec, ParisNone[YouTube-Lectures](https://www.youtube.com/playlist?list=PLgSHH6boFf5uJAUT4ZRiAZc_ofXolkAGK)20159.Mathematics of Signal ProcessingLots of Legends, Hausdorff Institute for Mathematics[SigProc](http://www.him.uni-bonn.de/signal-processing-2016/)[YouTube-Lectures](https://www.youtube.com/playlist?list=PLul8LCT3AJqSQo3lr5RbwxJ92RsgRuDtx)201610.Microsoft Research - Machine Learning CourseS V N Vishwanathan and Prateek Jain MS-ResearchNone[YouTube-Lectures](https://www.youtube.com/playlist?list=PL34iyE0uXtxo7vPXGFkmm6KbgZQwjf9Kf)201611.Deep Learning Summer SchoolLots of Legends, Université de Montréal[DL-SS-16](https://sites.google.com/site/deeplearningsummerschool2016/home)[YouTube-Lectures](https://www.youtube.com/playlist?list=PL5bqIc6XopCbb-FvnHmD1neVlQKwGzQyR)201612.Lisbon Machine Learning SchoolLots of Legends, Instituto Superior Técnico, Portugal[LxMLS-16](http://lxmls.it.pt/2016/)[YouTube-Lectures](https://www.youtube.com/playlist?list=PLToLj8M4ao-fymxXBIOU6sF1NGFLb5EiX)201613.Machine Learning Advances and Applications SeminarLots of Legends, Fields Institute, University of Toronto[MLAAS-16](http://www.fields.utoronto.ca/activities/16-17/machine-learning)[YouTube-Lectures](https://www.youtube.com/playlist?list=PLfsVAYSMwskuQcRkuDApP40lX_i08d0QK) [Video-Lectures](http://www.fields.utoronto.ca/video-archive/event/2267)2016-201714.Machine Learning Advances and Applications SeminarLots of Legends, Fields Institute, University of Toronto[MLAAS-17](http://www.fields.utoronto.ca/activities/17-18/machine-learning)[Video Lectures](http://www.fields.utoronto.ca/video-archive/event/2487)2017-201815.Machine Learning Summer SchoolLots of Legends, MPI-IS Tübingen[MLSS-17](http://mlss.tuebingen.mpg.de/2017/index.html)[YouTube-Lectures](https://www.youtube.com/playlist?list=PLqJm7Rc5-EXFUOvoYCdKikfck8YeUCnl9)201716.Representation LearningLots of Legends, Simons Institute[RepLearn](https://simons.berkeley.edu/workshops/abstracts/3750)[YouTube-Lectures](https://www.youtube.com/playlist?list=PLgKuh-lKre13UNV4ztsWUXciUZ7x_ZDHz)201717.Foundations of Machine LearningLots of Legends, Simons Institute[ML-BootCamp](https://simons.berkeley.edu/workshops/abstracts/3748)[YouTube-Lectures](https://www.youtube.com/playlist?list=PLgKuh-lKre11GbZWneln-VZDLHyejO7YD)201718.Optimization, Statistics, and UncertaintyLots of Legends, Simons Institute[Optim-Stats](https://simons.berkeley.edu/workshops/abstracts/4795)[YouTube-Lectures](https://www.youtube.com/playlist?list=PLgKuh-lKre13ACD44z2FH-IVP1e8ip5JO)201719.Deep Learning: Theory, Algorithms, and ApplicationsLots of Legends, TU-Berlin[DL: TAA](http://doc.ml.tu-berlin.de/dlworkshop2017/)[YouTube-Lectures](https://www.youtube.com/playlist?list=PLJOzdkh8T5kqCNV_v1w2tapvtJDZYiohW)201720.Deep Learning and Reinforcement Learning Summer SchoolLots of Legends, Université de Montréal[DLRL-2017](https://mila.quebec/en/cours/deep-learning-summer-school-2017/)[Lecture-videos](http://videolectures.net/deeplearning2017_montreal/)201721.Statistical Physics Methods in Machine LearningLots of Legends, International Centre for Theoretical Sciences, TIFR[SPMML](https://www.icts.res.in/discussion-meeting/SPMML2017)[YouTube-Lectures](https://www.youtube.com/playlist?list=PL04QVxpjcnjhtL3IIVyFRMOgdhWtPn7YJ)201722.Lisbon Machine Learning SchoolLots of Legends, Instituto Superior Técnico, Portugal[LxMLS-17](http://lxmls.it.pt/2017/)[YouTube-Lectures](https://www.youtube.com/playlist?list=PLToLj8M4ao-fuRfnzEJCCnvuW2_FeJ73N)201723.Interactive LearningLots of Legends, Simons Institute, Berkeley[IL-2017](https://simons.berkeley.edu/workshops/schedule/3749)[YouTube-Lectures](https://www.youtube.com/playlist?list=PLgKuh-lKre10T2POF-WzXh0ckdpyvANUx)201724.Computational Challenges in Machine LearningLots of Legends, Simons Institute, Berkeley[CCML-17](https://simons.berkeley.edu/workshops/schedule/3751)[YouTube-Lectures](https://www.youtube.com/playlist?list=PLgKuh-lKre12eXz4dnvc8oervo2_Af4iU)201725.Foundations of Data ScienceLots of Legends, Simons Institute[DS-BootCamp](https://simons.berkeley.edu/workshops/abstracts/6680)[YouTube-Lectures](https://www.youtube.com/playlist?list=PLgKuh-lKre13r1Qrnrejj3f498-NurSf3)201826.Deep Learning and Bayesian MethodsLots of Legends, HSE Moscow[DLBM-SS](http://deepbayes.ru/2018/)[YouTube-Lectures](https://www.youtube.com/playlist?list=PLe5rNUydzV9Q01vWCP9BV7NhJG3j7mz62)201827.New Deep Learning TechniquesLots of Legends, IPAM UCLA[IPAM-Workshop](https://www.ipam.ucla.edu/programs/workshops/new-deep-learning-techniques/?tab=schedule)[YouTube-Lectures](https://www.youtube.com/playlist?list=PLHyI3Fbmv0SdM0zXj31HWjG9t9Q0v2xYN)201828.Deep Learning and Reinforcement Learning Summer SchoolLots of Legends, University of Toronto[DLRL-2018](https://dlrlsummerschool.ca/2018-event/)[Lecture-videos](http://videolectures.net/DLRLsummerschool2018_toronto/)201829.Machine Learning Summer SchoolLots of Legends, Universidad Autónoma de Madrid, Spain[MLSS-18](http://mlss.ii.uam.es/mlss2018/index.html)[YouTube-Lectures](https://www.youtube.com/channel/UCbPJHr__eIor_7jFH3HmVHQ/videos) [Course-videos](http://mlss.ii.uam.es/mlss2018/speakers.html)201830.Theoretical Basis of Machine LearningLots of Legends, International Centre for Theoretical Sciences, TIFR[TBML-18](https://www.icts.res.in/discussion-meeting/tbml2018)[Lecture-Videos](https://www.icts.res.in/discussion-meeting/tbml2018/talks) [YouTube-Videos](https://www.youtube.com/playlist?list=PL04QVxpjcnjj1DgnXxFBo2fkSju4r-ggr)201831.Polish View on Machine LearningLots of Legends, Warsaw[PLinML-18](https://plinml.mimuw.edu.pl/)[YouTube-Videos](https://www.youtube.com/playlist?list=PLoaWrlj9TDhPcA6N9dZQ6GPXboYuumDRp)201832.Big Data Analysis in AstronomyLots of Legends, Tenerife[BDAA-18](http://research.iac.es/winterschool/2018/pages/book-ws2018.php)[YouTube-Lectures](https://www.youtube.com/playlist?list=PLM4Pv4KYYzGx42W5pSp3Itetp0u-PENtI)201833.Machine Learning Advances and Applications SeminarLots of Legends, Fields Institute, University of Toronto[MLASS](http://www.fields.utoronto.ca/activities/18-19/machine-learning)[Video Lectures](http://www.fields.utoronto.ca/video-archive/event/2681)2018-201934.MIFODS- ML, Stats, ToC seminarLots of Legends, MIT[MIFODS-seminar](http://mifods.mit.edu/seminar.php)[Lecture-videos](http://mifods.mit.edu/seminar.php)2018-201935.Learning Machines Seminar SeriesLots of Legends, Cornell Tech[LMSS](https://lmss.tech.cornell.edu/)[YouTube-Lectures](https://www.youtube.com/playlist?list=PLycW2Yy79JuxbQZ9uHEu_NS3cGNomhL2A)2018-now36.Machine Learning Summer SchoolLots of Legends, South Africa[MLSS'19](https://mlssafrica.com/programme-schedule/)[YouTube-Lectures](https://www.youtube.com/channel/UC722CmQVgcLtxt_jXr3RyWg/videos)201937.Deep Learning Boot CampLots of Legends, Simons Institute, Berkeley[DLBC-19](https://simons.berkeley.edu/workshops/schedule/10624)[YouTube-Lectures](https://www.youtube.com/playlist?list=PLgKuh-lKre12c2Il9mNX0Cmp9Z4oFNrQh)201938.Frontiers of Deep LearningLots of Legends, Simons Institute, Berkeley[FoDL-19](https://simons.berkeley.edu/workshops/schedule/10627)[YouTube-Lectures](https://www.youtube.com/playlist?list=PLgKuh-lKre11ekU7g-Z_qsvjDD8cT-hi9)201939.Mathematics of data: Structured representations for sensing, approximation and learningLots of Legends, The Alan Turing Institute, London[MoD-19](https://www.turing.ac.uk/sites/default/files/2019-05/agenda_9_3.pdf)[YouTube-Lectures](https://www.youtube.com/playlist?list=PLuD_SqLtxSdX_w1Ztexpzl_EJgFQSkWez)201940.Deep Learning and Bayesian MethodsLots of Legends, HSE Moscow[DLBM-SS](http://deepbayes.ru/)[YouTube-Lectures](https://www.youtube.com/playlist?list=PLe5rNUydzV9QHe8VDStpU0o8Yp63OecdW)201941.The Mathematics of Deep Learning and Data ScienceLots of Legends, Isaac Newton Institute, Cambridge[MoDL-DS](https://gateway.newton.ac.uk/event/ofbw46)[Lecture-Videos](https://gateway.newton.ac.uk/event/ofbw46/programme)201942.Geometry of Deep LearningLots of Legends, MSR Redmond[GoDL](https://www.microsoft.com/en-us/research/event/ai-institute-2019)[YouTube-Lectures](https://www.youtube.com/playlist?list=PLD7HFcN7LXRe30qq36It2XCljxc340O_d)201943.Deep Learning for Science SchoolMany folks, LBNL, Berkeley[DLfSS](https://dl4sci-school.lbl.gov/agenda)[YouTube-Lectures](https://www.youtube.com/playlist?list=PL20S5EeApOSvfvEyhCPOUzU7zkBcR5-eL)201944.Emerging Challenges in Deep LearningLots of Legends, Simons Institute, Berkeley[ECDL](https://simons.berkeley.edu/workshops/schedule/10629)[YouTube-Lectures](https://www.youtube.com/playlist?list=PLgKuh-lKre10BpafDrv0fg2VNUweWXWVd)201945.Full Stack Deep LearningPieter Abbeel and many others, UC Berkeley[FSDL-M19](https://fullstackdeeplearning.com/march2019)[YouTube-Lectures-Day-1](https://www.youtube.com/playlist?list=PL1T8fO7ArWlcf3Hc4VMEVBlH8HZm_NbeB) [Day-2](https://www.youtube.com/playlist?list=PL1T8fO7ArWlf6TWwdstb-PcwlubnlrKrm)201946.Algorithmic and Theoretical aspects of Machine LearningLots of legends, IIIT-Bengaluru[ACM-ML](https://india.acm.org/education/machine-learning) [nptel](https://nptel.ac.in/courses/128/106/128106011/)[YouTube-Lectures](https://nptel.ac.in/courses/128/106/128106011)201947.Deep Learning and Reinforcement Learning Summer SchoolLots of Legends, AMII, Edmonton, Canada[DLRL-2019](https://dlrlsummerschool.ca/past-years)[YouTube-Lectures](https://www.youtube.com/playlist?list=PLKlhhkvvU8-aXmPQZNYG_e-2nTd0tJE8v)201948.Mathematics of Machine Learning - Summer Graduate SchoolLots of Legends, University of Washington[MoML-SGS](http://www.msri.org/summer_schools/866#schedule), [MoML-SS](http://mathofml.cs.washington.edu/)[YouTube-Lectures](https://www.youtube.com/playlist?list=PLTPQEx-31JXhguCush5J7OGnEORofoCW9)201949.Workshop on Theory of Deep Learning: Where next?Lots of Legends, IAS, Princeton University[WTDL](https://www.math.ias.edu/wtdl)[YouTube-Lectures](https://www.youtube.com/playlist?list=PLdDZb3TwJPZ5dqqg_S-rgJqSFeH4DQqFQ)201950.Computational Vision Summer SchoolLots of Legends, Black Forest, Germany[CVSS-2019](http://orga.cvss.cc/program-cvss-2019/)[YouTube-Lectures](https://www.youtube.com/playlist?list=PLeCNfJWZKqxsvidOlVLtWq9s7sIsX1QTC)201951.Learning under complex structureLots of Legends, MIT[LUCS](https://mifods.mit.edu/complex.php)[YouTube-Lectures](https://www.youtube.com/playlist?list=PLM4Pv4KYYzGwhIHcaY6zYR7M9hhFO4Vud)202052.Machine Learning Summer SchoolLots of Legends, MPI-IS Tübingen (virtual)[MLSS](http://mlss.tuebingen.mpg.de/2020/schedule.html)[YouTube-Lectures](https://www.youtube.com/channel/UCBOgpkDhQuYeVVjuzS5Wtxw/videos)SS202053.Eastern European Machine Learning Summer SchoolLots of Legends, Kraków, Poland (virtual)[EEML](https://www.eeml.eu/program)[YouTube-Lectures](https://www.youtube.com/playlist?list=PLaKY4p4V3gE1j01FOY2FeglV4jRntQj84)S202054.Lisbon Machine Learning Summer SchoolLots of Legends, Lisbon, Portugal (virtual)[LxMLS](http://lxmls.it.pt/2020/?page_id=19)[YouTube-Lectures](https://www.youtube.com/channel/UCkVFZWgT1jR75UvSLGP9_mw)S202055.Workshop on New Directions in Optimization, Statistics and Machine LearningLots of Legends, Institute of Advanced Study, Princeton[ML-Opt new dir.](https://www.ias.edu/video/workshop/2020/0415-16)[YouTube-Lectures](https://www.youtube.com/playlist?list=PLdDZb3TwJPZ4Ri6i0MIdesIEpYK4lx17Q)202056.Mediterranean Machine Learning SchoolLots of Legends, Italy (virtual)[M2L-school](https://www.m2lschool.org/talks)[YouTube-Lectures](https://www.youtube.com/playlist?list=PLF-wkqRv4u1YRbfnwN8cXXyrmXld-sked)202157.Mathematics of Machine Learning - One World SeminarLots of Legends, Virtual[1W-ML](https://sites.google.com/view/oneworldml/past-events)[YouTube-Lectures](https://www.youtube.com/channel/UCz7WlgXs20CzugkfxhFCNFg/videos)2020 - now58.Deep Learning Theory Summer SchoolLots of Legends, Princeton University (virtual)[DLT'21](https://deep-learning-summer-school.princeton.edu/)[YouTube-Lectures](https://www.youtube.com/playlist?list=PL2mB9GGlueJj_FNjJ8RWgz4Nc_hCSXfMU)2021
[Go to Contents ](https://github.com/kmario23/deep-learning-drizzle#contents)⤴️
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🐦 Bird's Eye view of A(G)I 🦅
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S.NoCourse NameUniversity/Instructor(s)Course WebPageLecture VideosYear1.Artificial General IntelligenceLots of Legends, MIT[6.S099-AGI](https://agi.mit.edu/)[Lecture-Videos](https://agi.mit.edu/)2018-20192.AI PodcastLots of Legends, MIT[AI-Pod](https://lexfridman.com/ai/)[YouTube-Lectures](https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4)2018-20193.NYU - AI SeminarsLots of Legends, NYU[modern-AI](https://engineering.nyu.edu/academics/departments/electrical-and-computer-engineering/ece-seminar-series/modern-artificial)[YouTube-Lectures](https://www.youtube.com/playlist?list=PLhwo5ntex8iY9xhpSwWas451NgVuqBE7U)2017-now4.Deep Learning: Alchemy or Science?Lots of Legends, Institute for Advanced Study, Princeton[DLAS](https://video.ias.edu/deeplearning/2019/0222) [Agenda](https://www.math.ias.edu/tml/dlasagenda)[YouTube-Lectures](https://www.youtube.com/playlist?list=PLdDZb3TwJPZ7aAxhIHALBoh8l6-UxmMNP)2019
[Go to Contents ](https://github.com/kmario23/deep-learning-drizzle#contents)⤴️
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To-Do 🏃
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⬜ Optimization courses which form the foundation for ML, DL, RL
⬜ Computer Vision courses which are DL & ML heavy
⬜ Speech recognition courses which are DL heavy
⬜ Structured Courses on Geometric, Graph Neural Networks
⬜ Section on Autonomous ➖Vehicles
⬜ Section on Computer Graphics with ML/DL focus
➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖
## 相关链接
- [shikamaru](https://x.com/shikamarutsai)
- [@shikamarutsai](https://x.com/shikamarutsai)
- [176K](https://x.com/shikamarutsai/status/2088918066310652358/analytics)
- [Lecture-Slides](http://www.cs.toronto.edu/~hinton/coursera_slides.html)
- [CSC321-tijmen](https://www.cs.toronto.edu/~tijmen/csc321/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLoRl3Ht4JOcdU872GhiYWf6jwrk_SNhz9)
- [UofT-mirror](https://www.cs.toronto.edu/~hinton/coursera_lectures.html)
- [Suppl. Code](https://github.com/stephencwelch/Neural-Networks-Demystified)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLiaHhY2iBX9hdHaRr6b7XevZtgZRa1PoU)
- [Oxford-ML](http://www.cs.ox.ac.uk/teaching/courses/2014-2015/ml/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLE6Wd9FR--EfW8dtjAuPoTuPcqmOV53Fu)
- [ECE-6504](https://computing.ece.vt.edu/~f15ece6504/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLE6Wd9FR--EfW8dtjAuPoTuPcqmOV53Fu)
- [STAT-946](https://uwaterloo.ca/data-analytics/deep-learning)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLehuLRPyt1Hyi78UOkMPWCGRxGcA9NVOE)
- [CS231n](http://cs231n.stanford.edu/2015/)
- [CS231n](http://cs231n.stanford.edu/2015/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLmImxx8Char8dxWB9LRqdpCTmewaml96q)
- [GitHub](https://github.com/gitwizChen/Deep-Learning-Source-Collection)
- [CS231n](http://cs231n.stanford.edu/2016/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLkt2uSq6rBVctENoVBg1TpCC7OQi31AlC)
- [(Academic Torrent)](https://academictorrents.com/details/46c5af9e2075d9af06f280b55b65cf9b44eb9fe7)
- [Neural-Networks](http://info.usherbrooke.ca/hlarochelle/neural_networks/content.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL6Xpj9I5qXYEcOhn7TqghAJ6NAPrNmUBH)
- [(Academic Torrent)](https://academictorrents.com/details/e046bca3bc837053d1609ef33d623ee5c5af7300)
- [CS224d](http://cs224d.stanford.edu/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLlJy-eBtNFt4CSVWYqscHDdP58M3zFHIG)
- [(Academic Torrent)](https://academictorrents.com/details/dd9b74b50a1292b4b154094b7338ec1d66e8894d)
- [CS224n](http://web.stanford.edu/class/cs224n/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6)
- [CS231n](http://cs231n.stanford.edu/2017/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv)
- [(Academic Torrent)](https://academictorrents.com/details/ed8a16ebb346e14119a03371665306609e485f13)
- [10707](https://deeplearning-cmu-10707.github.io/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLpIxOj-HnDsOSL__Buy7_UEVQkyfhHapa)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLWKotBjTDoLj3rXBL-nEIPRN9V3a9Cx07)
- [EE4C16](https://github.com/frcs/4C16-2017)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLIo1iEzl5iB9NkulNR0X5vXN8AaEKglWT)
- [CS230](http://cs230.stanford.edu/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLoROMvodv4rOABXSygHTsbvUz4G_YQhOb)
- [UvA-DLC](https://uvadlc.github.io/)
- [Lecture-Videos](https://uvadlc.github.io/lectures-sep2018.html)
- [Lecture-Videos](https://uvadlc.github.io/lectures-sep2018.html)
- [MLVU](https://mlvu.github.io/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLCof9EqayQgsORO3pFzeYZFz6cszYO0VJ)
- [EE-59](https://fleuret.org/ee559-2018/dlc)
- [Video-Lectures](https://fleuret.org/ee559-2018/dlc/#materials)
- [6.S191](http://introtodeeplearning.com/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI)
- [2017-version](https://www.youtube.com/playlist?list=PLkkuNyzb8LmxFutYuPA7B4oiMn6cjD6Rs)
- [6.S094](https://selfdrivingcars.mit.edu/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLrAXtmErZgOeiKm4sgNOknGvNjby9efdf)
- [11-485/785](http://deeplearning.cs.cmu.edu/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLp-0K3kfddPwJBJ4Q8We-0yNQEG0fZrSa)
- [11-485/785](http://deeplearning.cs.cmu.edu/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLp-0K3kfddPyH44FP0dl0CbYprvTcfgOI)
- [Recitation-Inclusive](https://www.youtube.com/playlist?list=PLLR0_ZOlbfD6KDBq93G8-guHI-J1ICeFm)
- [DL.AI](https://www.deeplearning.ai/deep-learning-specialization/)
- [YouTube-Lectures](https://www.youtube.com/channel/UCcIXc5mJsHVYTZR1maL5l9w/playlists)
- [STAT-946](https://uwaterloo.ca/data-analytics/teaching/deep-learning-2017)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLehuLRPyt1HxTolYUWeyyIoxDabDmaOSB)
- [CS7015](https://www.cse.iitm.ac.in/~miteshk/CS7015.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLyqSpQzTE6M9gCgajvQbc68Hk_JKGBAYT)
- [DLAI-2017](https://telecombcn-dl.github.io/2017-dlai/)
- [DLAI-2018](https://telecombcn-dl.github.io/2018-dlai/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL-5eMc3HQTBagIUjKefjcTbnXC0wXC_vd)
- [CS236605](https://vistalab-technion.github.io/cs236605/info/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLM0a6Z788YAZuqg2Ip-_dPLzEd33lZvP2)
- [6.S094, 6.S091, 6.S093](https://deeplearning.mit.edu/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLrAXtmErZgOeiKm4sgNOknGvNjby9efdf)
- [DL-book slides](https://www.deeplearningbook.org/lecture_slides.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLsXu9MHQGs8df5A4PzQGw-kfviylC-R9b)
- [Stats-385](https://stats385.github.io/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLwUqqMt5en7fFLwSDa9V3JIkDam-WWgqy)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi)
- [CS230](http://cs230.stanford.edu/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLoROMvodv4rOABXSygHTsbvUz4G_YQhOb)
- [DALI'18](http://dalimeeting.org/dali2018/workshopTheoryDL.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLeCNfJWZKqxtWBnV8gefGqmmPgz9YF4LR)
- [Stat-157](http://courses.d2l.ai/berkeley-stat-157/index.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLZSO_6-bSqHQHBCoGaObUljoXAyyqhpFW)
- [CS294-158](https://sites.google.com/view/berkeley-cs294-158-sp19/home)
- [YouTube-Lectures](https://www.youtube.com/channel/UCf4SX8kAZM_oGcZjMREsU9w/videos)
- [MLVU](https://mlvu.github.io/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLCof9EqayQgupldnTvqNy_BThTcME5r93)
- [CS236605](https://vistalab-technion.github.io/cs236605/lectures/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLM0a6Z788YAa_WCy_V-q9NrGm5qQegZR5)
- [11-785](http://www.cs.cmu.edu/~bhiksha/courses/deeplearning/Spring.2019/www)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLp-0K3kfddPzNdZPX4p0lVi6AcDXBofuf)
- [11-785](https://www.cs.cmu.edu/~bhiksha/courses/deeplearning/Fall.2019/www)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLp-0K3kfddPwz13VqV1PaMXF6V6dYdEsj)
- [Recitations](https://www.youtube.com/playlist?list=PLp-0K3kfddPxf4T59JEQKv5UanLPVsxzz)
- [UvA-DLC](https://uvadlc.github.io/)
- [Lecture-Videos](https://uvadlc.github.io/lectures-apr2019.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLbRMhDVUMngc7NM-gDwcBzIYZNFSK2N1a)
- [CS-671](http://faculty.iitmandi.ac.in/~aditya/cs671/index.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLKvX2d3IUq586Ic9gIhZj6ubpWV-OJfl4)
- [CS-152](https://www.cs.hmc.edu/~rhodes/cs152/schedule.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgEuVSRbAI9UIQSHGy4l01laA_12YOqEj)
- [DAL-DL](http://www.da.inf.ethz.ch/teaching/2019/DeepLearning)
- [Lecture-Videos](https://video.ethz.ch/lectures/d-infk/2019/autumn/263-3210-00L.html)
- [NPFL114](https://ufal.mff.cuni.cz/courses/npfl114)
- [Lecture-Videos](https://ufal.mff.cuni.cz/courses/npfl114/1718-summer)
- [UvA-DLC-19](https://uvadlc.github.io/#lectures)
- [Lecture-Videos](https://uvadlc.github.io/#lectures)
- [CS221](https://stanford-cs221.github.io/autumn2019/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLoROMvodv4rO1NB9TD4iUZ3qghGEGtqNX)
- [STATS-385](https://stats385.github.io/)
- [YouTube-Lectures](https://stats385.github.io/lecture_videos)
- [AI61002](http://www.facweb.iitkgp.ac.in/~debdoot/courses/AI61002/Spr2020)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL_AdDfjIMo6pZfwjZ0rJlkE_MIsmRW7Mh)
- [CS 182/282A](https://bcourses.berkeley.edu/courses/1487769/pages/cs-l-w-182-slash-282a-designing-visualizing-and-understanding-deep-neural-networks-spring-2020)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLkFD6_40KJIwaO6Eca8kzsEFBob0nFvwm)
- [DS-GA 1008](https://atcold.github.io/pytorch-Deep-Learning/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLLHTzKZzVU9eaEyErdV26ikyolxOsz6mq)
- [11-785](https://deeplearning.cs.cmu.edu/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLp-0K3kfddPzCnS4CqKphh-zT3aDwybDe)
- [CS294-158](https://sites.google.com/view/berkeley-cs294-158-sp20)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLwRJQ4m4UJjPiJP3691u-qWwPGVKzSlNP)
- [VUML](https://mlvu.github.io/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLCof9EqayQgthR7IViXkAkUwel_rhxGYM)
- [DS-GA 1008](https://atcold.github.io/pytorch-Deep-Learning/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLLHTzKZzVU9eaEyErdV26ikyolxOsz6mq)
- [Stat453](http://pages.stat.wisc.edu/~sraschka/teaching/stat453-ss2020/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLTKMiZHVd_2JkR6QtQEnml7swCnFBtq4P)
- [DL-2020](https://www.video.uni-erlangen.de/course/id/925)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLpOGQvPCDQzvgpD3S0vTy7bJe2pf_yJFj)
- [Lecture-Videos](https://www.video.uni-erlangen.de/course/id/925)
- [I2DL-IN2346](https://dvl.in.tum.de/teaching/i2dl-ss20/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLQ8Y4kIIbzy_OaXv86lfbQwPHSomk2o2e)
- [CSE676](https://cedar.buffalo.edu/~srihari/CSE676/)
- [YouTube-Lectures-P1](https://www.youtube.com/playlist?list=PLmx4utxjUQD70k_NzeiSIXf30m54T_e1h)
- [YouTube-Lectures-P2](https://www.youtube.com/channel/UCUm7yUmVJyAbYh_0ppJ4H-g/videos)
- [DLLS-20](https://deepmind.com/learning-resources/deep-learning-lecture-series-2020)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLqYmG7hTraZCDxZ44o4p3N5Anz3lLRVZF)
- [11-777 MMML-20](https://cmu-multicomp-lab.github.io/mmml-course/fall2020)
- [YouTube-Lectures](https://www.youtube.com/channel/UCqlHIJTGYhiwQpNuPU5e2gg/videos)
- [RIAI-20](https://www.sri.inf.ethz.ch/teaching/riai2020)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLWjm4hHpaNg6c-W7JjNYDEC_kJK9oSp0Y)
- [TTIC-31230](https://mcallester.github.io/ttic-31230/Fall2020)
- [YouTube-Lectures](https://www.youtube.com/channel/UCciVrtrRR3bQdaGbti9-hVQ/videos)
- [CMSC 828W](http://www.cs.umd.edu/class/fall2020/cmsc828W)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLHgjs9ncvHi80UCSlSvQe-TK_uOyDv_Jf)
- [DL-UT](https://uni-tuebingen.de/fakultaeten/mathematisch-naturwissenschaftliche-fakultaet/fachbereiche/informatik/lehrstuehle/autonomous-vision/teaching/lecture-deep-learning/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL05umP7R6ij3NTWIdtMbfvX7Z-4WEXRqD)
- [DL-FAU](https://www.fau.tv/course/id/1599)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLpOGQvPCDQzvJEPFUQ3mJz72GJ95jyZTh)
- [DL-Fundamentals](https://github.com/parrt/fundamentals-of-deep-learning)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLFCc_Fc116ikeol9CZcWWKqmrJljxhE4N)
- [FS-DL](https://fullstackdeeplearning.com/spring2021)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL1T8fO7ArWlcWg04OgNiJy91PywMKT2lv)
- [CS 182](https://cs182sp21.github.io/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL_iWQOsE6TfVmKkQHucjPAoRtIJYt8a5A)
- [6.874](https://mit6874.github.io/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLypiXJdtIca5sxV7aE3-PS9fYX3vUdIOX)
- [Stat 453](http://pages.stat.wisc.edu/~sraschka/teaching/stat453-ss2021)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLTKMiZHVd_2KJtIXOW0zFhFfBaJJilH51)
- [NYU-DLSP21](https://atcold.github.io/NYU-DLSP21)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLLHTzKZzVU9e6xUfG10TkTWApKSZCzuBI)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLNsFwZQ_pkE8xNYTEyorbaWPN7nvbWyk1)
- [ML'21](https://speech.ee.ntu.edu.tw/~hylee/ml/2021-spring.php)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLJV_el3uVTsNxV_IGauQZBHjBKZ26JHjd)
- [MoDL](https://www.fau.tv/course/id/878)
- [Lecture-Videos](https://www.fau.tv/course/id/878)
- [YouTube-Lectures](https://www.youtube.com/channel/UCYh1zKnwzrSjrO2Ae-akfTg/playlists)
- [ADL'21](https://github.com/maziarraissi/Applied-Deep-Learning)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLoEMreTa9CNmuxQeIKWaz7AVFd_ZeAcy4)
- [UvAGEDL](https://uvagedl.github.io/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL8FnQMH2k7jzPrxqdYufoiYVHim8PyZWd)
- [18.06 SC](http://ocw.mit.edu/18-06SCF11)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL221E2BBF13BECF6C)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL17567A1A3F5DB5E4)
- [ITPRNN](http://www.inference.org.uk/mackay/itprnn)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLruBu5BI5n4aFpG32iMbdWoRVAA-Vcso6)
- [LinAlg](http://www.cs.cmu.edu/~zkolter/course/linalg/index.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLM4Pv4KYYzGzL5ay6dmpyzRnbzQ__8v_t)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLX2gX-ftPVXUWwTzAkOhBdhplvz0fByqV)
- [Part-1](https://www.youtube.com/playlist?list=PLlXfTHzgMRUKXD88IdzS14F4NxAZudSmv)
- [Part-2](https://www.youtube.com/playlist?list=PLlXfTHzgMRULWJYthculb2QWEiZOkwTSU)
- [Part-3](https://www.youtube.com/playlist?list=PLlXfTHzgMRUIqYrutsFXCOmiqKUgOgGJ5)
- [Part-4](https://www.youtube.com/playlist?list=PLlXfTHzgMRULZfrNCrrJ7xDcTjGr633mm)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLSQl0a2vh4HC5feHa6Rc5c0wbRTx56nF7)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLZHQObOWTQDMsr9K-rj53DwVRMYO3t5Yr)
- [10-606](https://canvas.cmu.edu/courses/603/assignments/syllabus)
- [10-607](https://piazza.com/cmu/fall2017/1060610607/home)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL7y-1rk2cCsAqRtWoZ95z-GMcecVG5mzA)
- [MML](https://www.coursera.org/learn/linear-algebra-machine-learning)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLmAuaUS7wSOP-iTNDivR0ANKuTUhEzMe4)
- [MVC](https://nptel.ac.in/syllabus/111107108/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLq-Gm0yRYwTiQtK374NzhFOcQkWmJ71vx)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLuh62Q4Sv7BU1dN2G6ncyiMbML7OXh_Jx)
- [18.065](https://ocw.mit.edu/courses/mathematics/18-065-matrix-methods-in-data-analysis-signal-processing-and-machine-learning-spring-2018)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLUl4u3cNGP63oMNUHXqIUcrkS2PivhN3k)
- [E2 201](https://ece.iisc.ac.in/~htyagi/course-E2201-2020.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgMDNELGJ1CYS-8dlMGPIaowVfeda4nUj)
- [UAMathCamp / Econ-519](http://www.u.arizona.edu/~mwalker/MathCamp2019.htm)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLcjqUUQt__ZGLhwUacPm7_RKs2eJNFwco)
- [VoLA](https://ocw.mit.edu/resources/res-18-010-a-2020-vision-of-linear-algebra-spring-2020/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLUl4u3cNGP61iQEFiWLE21EJCxwmWvvek)
- [COS-302](https://www.cs.princeton.edu/courses/archive/fall20/cos302/outline.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL88aSuXxl_dSjC5pIG8bGkC5wsUPyW_Hh)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL05umP7R6ij0Gw5SLIrOA1dMYScCx4oXT)
- [Math4ML](https://www.tml.cs.uni-tuebingen.de/teaching/2020_maths_for_ml)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL05umP7R6ij1a6KdEy8PVE9zoCv6SlHRS)
- [CausalInf](https://www.bradyneal.com/causal-inference-course)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLoazKTcS0Rzb6bb9L508cyJ1z-U9iWkA0)
- [EE5120](http://www.ee.iitm.ac.in/~andrew/EE5120)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLyqSpQzTE6M-CHZU5RGfamcXOnuFyTOpm)
- [DS-GA 1013/Math-GA 2824](https://cds.nyu.edu/math-tools)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLBEf5mJtE6KtU6YlXFZD6lyYcHhW5pIlc)
- [COS 302 / SML 305](https://www.cs.princeton.edu/courses/archive/spring21/cos302)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLCO4cUaBLHFEHo42HVIVWaSOvbAiH30uc)
- [ee364a](http://web.stanford.edu/class/ee364a/lectures.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL3940DD956CDF0622)
- [CS-236330](https://sites.google.com/site/michaelzibulevsky/optimization-course)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLDFB2EEF4DDAFE30B)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL09B0E8AFC69BE108)
- [10-725](https://www.cs.cmu.edu/~ggordon/10725-F12/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL7y-1rk2cCsDOv91McLOnV4kExFfTB7dU)
- [cvx-nptel](https://nptel.ac.in/courses/111/104/111104068)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLbMVogVj5nJQHFqfiSdgaLCCWvDcm1W4l)
- [fop-nptel](https://nptel.ac.in/courses/111/104/111104071)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLbMVogVj5nJRRbofh3Qm3P6_NVyevDGD_)
- [18.409-AAML](http://people.csail.mit.edu/moitra/409.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLB3sDpSRdrOvI1hYXNsa6Lety7K8FhPpx)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL6EA0722B99332589)
- [10-725](https://www.stat.cmu.edu/~ryantibs/convexopt-S15/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLjbUi5mgii6BZBhJ9nW7eydgycyCOYeZ6)
- [10-725](http://stat.cmu.edu/~ryantibs/convexopt-F15/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLjbUi5mgii6AGJW3La3BpEXe27n8v3biT)
- [6.854-AA](http://people.csail.mit.edu/moitra/854.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL6ogFv-ieghdoGKGg2Bik3Gl1glBTEu8c)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLBD31626529B0AC2A)
- [10-725/36-725](https://www.stat.cmu.edu/~ryantibs/convexopt-F16)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLjbUi5mgii6AVdvImLB9-Hako68p9MpIC)
- [10-725](https://www.stat.cmu.edu/~ryantibs/convexopt-F18/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLpIxOj-HnDsMM7BCNGC3hPFU3DfCWfVIw)
- [Lecture-Videos](https://www.stat.cmu.edu/~ryantibs/convexopt-F18/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLEqoHzpnmTfAoUDqnmMly-KgyJ6ZM_axf)
- [MathCamp-20](http://www.u.arizona.edu/~mwalker/MathCamp2020/MathCamp2020LectureNotes.htm)
- [YouTube-Lectures-Found.](https://www.youtube.com/playlist?list=PLcjqUUQt__ZE6wp_c4-FcRdmzBvx8VN7O)
- [YouTube-Lectures-Opt](https://www.youtube.com/playlist?list=PLcjqUUQt__ZE0ZSTNRyBIgLJ5obPHdmxC)
- [opt-algo](https://transp-or.epfl.ch/books/optimization/html/about_book.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLM4Pv4KYYzGzOpWwsaV6GgllT6njsi1G-)
- [opt-sim](https://transp-or.epfl.ch/courses/OptSim2019/slides.php)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL10NOnsbP5Q5NlJ-Y6Eiup6RTSfkuj1TR)
- [cont. opt.](https://impa.br/eventos-do-impa/eventos-2019/xiii-brazilian-workshop-on-continuous-optimization)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLo4jXE-LdDTQVZhnLPq2W31vJ1fq1VSp6)
- [1W-OPT](https://owos.univie.ac.at/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLBQo-yZOMzLWEcAptzTYOnwXo9hhXrAa2)
- [CVX-Optim-II](http://users.ece.utexas.edu/~cmcaram/constantine_caramanis/Announcements.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLXsmhnDvpjORzPelSDs0LSDrfJcqyLlZc)
- [comb-op](https://caramanis.github.io/teaching/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLXsmhnDvpjORcTRFMVF3aUgyYlHsxfhNL)
- [Optim-MLE](https://ies.iar.kit.edu/lehre_1487.php)
- [slides](https://drive.google.com/drive/folders/1WWVWV4vDBIOkjZc6uFY3nfXvpaOUHcfb)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLdkTDauaUnQpzuOCZyUUZc0lxf4-PXNR5)
- [CS229-old](https://see.stanford.edu/Course/CS229/)
- [CS229-new](http://cs229.stanford.edu/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLA89DCFA6ADACE599)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLD0F06AA0D2E8FFBA)
- [10-701](http://www.cs.cmu.edu/~tom/10701_sp11/)
- [Lecture-Videos](http://www.cs.cmu.edu/~tom/10701_sp11/lectures.shtml)
- [CPSC-340](https://www.cs.ubc.ca/~nando/340-2012/index.php)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLE6Wd9FR--Ecf_5nCbnSQMHqORpiChfJf)
- [CS156](http://work.caltech.edu/telecourse.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLD63A284B7615313A)
- [Machine Learning](https://vision.in.tum.de/teaching/ws2013/ml_ws13)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLTBdjV_4f-EIiongKlS9OKrBEp8QR47Wl)
- [10-701](http://alex.smola.org/teaching/cmu2013-10-701/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLZSO_6-bSqHQmMKwWVvYwKreGu4b4kMU9)
- [10-701x](http://alex.smola.org/teaching/cmu2013-10-701x/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLZSO_6-bSqHR7NPk4k0zqdm2dPdraQZ_B)
- [PR-NPTEL](https://nptel.ac.in/syllabus/106106046/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLbMVogVj5nJQJMLb2CYw9rry0d5s0TQRp)
- [stat-learn](https://lagunita.stanford.edu/courses/HumanitiesandScience/StatLearning/Winter2015/about)
- [R-bloggers](https://www.r-bloggers.com/in-depth-introduction-to-machine-learning-in-15-hours-of-expert-videos/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLOg0ngHtcqbPTlZzRHA2ocQZqB1D_qZ5V)
- [ML-Udacity](https://www.udacity.com/course/ud120)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLAwxTw4SYaPkQXg8TkVdIvYv4HfLG7SiH)
- [ECE-5984](https://filebox.ece.vt.edu/~s15ece5984/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL-fZD610i7yDUiNTFy-tEOxkTwg4mHZHu)
- [STAT-441](https://uwaterloo.ca/data-analytics/statistical-learning-classification)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLehuLRPyt1Hy-4ObWBK4Ab0xk97s6imfC)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLPW2keNyw-usgvmR7FTQ3ZRjfLs5jT4BO)
- [10-701](http://alex.smola.org/teaching/10-701-15/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLZSO_6-bSqHTTV7w9u7grTXBHMH-mw3qn)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLjbUi5mgii6BWEUZf7He6nowWvGne_Y8r)
- [ML-Udacity](https://eu.udacity.com/course/machine-learning--ud262)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLAwxTw4SYaPl0N6-e1GvyLp5-MUMUjOKo)
- [ML-Udacity](https://eu.udacity.com/course/machine-learning-unsupervised-learning--ud741)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLAwxTw4SYaPmaHhu-Lz3mhLSj-YH-JnG7)
- [10-715](https://www.cs.cmu.edu/~bapoczos/Classes/ML10715_2015Fall/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL4YhK0pT0ZhWBzSBkMGzpnPw6sf6Ma0IX)
- [CSEP-546](https://courses.cs.washington.edu/courses/csep546/16sp/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLTPQEx-31JXgtDaC6-3HxWcp7fq4N8YGr)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLTB9VQq8WiaCBK2XrtYn5t9uuPdsNm7YE)
- [10-605](http://curtis.ml.cmu.edu/w/courses/index.php/Machine_Learning_with_Large_Datasets_10-605_in_Fall_2016)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLnfBqXRW5MRhPtfkadfwQ0VcuSi2IwEcW)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL7y-1rk2cCsA339crwXMWUaBRuLBvPBCg)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLehuLRPyt1HzXDemu7K4ETcF0Ld_B5adG)
- [Coursera-ML](https://www.coursera.org/learn/machine-learning)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLLssT5z_DsK-h9vYZkQkYNWcItqhlRJLN)
- [10-601](http://www.cs.cmu.edu/~roni/10601-f17/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL7k0r4t5c10-g7CWCnHfZOAxLaiNinChk)
- [10-702](http://www.stat.cmu.edu/~ryantibs/statml/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLjbUi5mgii6B7A0nM74zHTOVQtTC9DaCv)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLuRaSnb3n4kSQFyt8VBldsQ9pO9Xtu8rY)
- [10-606 / 10-607](https://canvas.cmu.edu/courses/603/assignments/syllabus)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL7y-1rk2cCsAqRtWoZ95z-GMcecVG5mzA)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLehuLRPyt1HzQoXEhtNuYTmd0aNQvtyAK)
- [ML4Phy-17](http://www.thp2.nat.uni-erlangen.de/index.php/2017_Machine_Learning_for_Physicists,_by_Florian_Marquardt)
- [Lecture-Videos](https://www.video.uni-erlangen.de/course/id/574)
- [CS4780](http://www.cs.cornell.edu/courses/cs4780/2018fa/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLl8OlHZGYOQ7bkVbuRthEsaLr7bONzbXS)
- [9.520/6.860](https://cbmm.mit.edu/lh-9-520)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLyGKBDfnk-iAtLO6oLW4swMiQGz4f2OPY)
- [CPSC-340](https://ubc-cs.github.io/cpsc340/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLWmXHcz_53Q02ZLeAxigki1JZFfCO6M-b)
- [FOML](https://bloomberg.github.io/foml/#home)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLnZuxOufsXnvftwTB1HL6mel1V32w0ThI)
- [IntroML](https://las.inf.ethz.ch/teaching/introml-s18)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLzn6LN6WhlN273tsqyfdrBUsA-o5nUESV)
- [MLF-slides](https://drive.google.com/drive/folders/1l1rwv-jMihLZIpW0zTgGN9-snWOsA3M9)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL_onPhFCkVQhUzcTVgQiC8W2ShZKWlm0s)
- [CMSC-726](http://users.umiacs.umd.edu/~jbg/teaching/CMSC_726/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLegWUnz91WfsELyRcZ7d1GwAVifDaZmgo)
- [CS229](http://cs229.stanford.edu/syllabus-autumn2018.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLoROMvodv4rMiGQp3WXShtMGgzqpfVfbU)
- [SYDE-522](https://kimialab.uwaterloo.ca/kimia/index.php/teaching/syde-522-machine-intelligence-2)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL4upCU5bnihwCX93Gv6AQnKmVMwx4AZoT)
- [CS480/680](https://cs.uwaterloo.ca/~ppoupart/teaching/cs480-spring19)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLdAoL1zKcqTW-uzoSVBNEecKHsnug_M0k)
- [CS-6780](https://www.cs.cornell.edu/courses/cs6780/2019sp)
- [Lecture-Videos](https://cornell.mediasite.com/Mediasite/Catalog/Full/f5d1cd3323f746cca80b2468bf97efd421)
- [10-418/10-618](http://www.cs.cmu.edu/~mgormley/courses/10418/schedule.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL4CxkUJbvNVihRKP4bXufvRLIWzeS-ieP)
- [ML2-AML](https://ml2.inf.ethz.ch/courses/aml/)
- [Lecture-Videos](https://video.ethz.ch/lectures/d-infk/2019/autumn/252-0535-00L.html)
- [MLSP](http://home.iitk.ac.in/~vipular/stuff/2019_MLSP.html)
- [CMS-165](http://tensorlab.cms.caltech.edu/users/anima/cms165-2019.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLVNifWxslHCA5GUh0o92neMiWiQiGVFqp)
- [Lecture-Videos](https://www.video.uni-erlangen.de/course/id/778)
- [COMS-W4995](https://www.cs.columbia.edu/~amueller/comsw4995s19/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL_pVmAaAnxIQGzQS2oI3OWEPT-dpmwTfA)
- [MLoNs](https://sites.google.com/view/mlons/course-materials)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLWoZTd81WFCEBFrxDfNUrDnt3ABdLfg80)
- [CMS-165](http://tensorlab.cms.caltech.edu/users/anima/cms165-2020.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLVNifWxslHCDlbyitaLLYBOAEPbmF1AHg)
- [STAT 37710 / CMSC 35400](https://voices.uchicago.edu/willett/teaching/stats37710-cmsc35400-s20)
- [Lecture-Videos](https://voices.uchicago.edu/willett/teaching/stats37710-cmsc35400-s20)
- [EE104/CME107](http://ee104.stanford.edu/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLoROMvodv4rN_Uy7_wmS051_q1d6akXmK)
- [COMS-W4995](https://www.cs.columbia.edu/~amueller/comsw4995s20/schedule/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL_pVmAaAnxIRnSw6wiCpSvshFyCREZmlM)
- [Stat-ML](https://www.tml.cs.uni-tuebingen.de/teaching/2020_statistical_learning/index.php)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL05umP7R6ij2XCvrRzLokX6EoHWaGA2cC)
- [Prob-ML](https://uni-tuebingen.de/en/180804)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL05umP7R6ij1tHaOFY96m5uX3J21a6yNd)
- [INF8953CE](http://sarathchandar.in/teaching/ml/fall2020)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLImtCgowF_ET0mi-AmmqQ0SIJUpWYaIOr)
- [UvA-ML](https://uvaml1.github.io/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL8FnQMH2k7jzhtVYbKmvrMyXDYMmgjj_n)
- [NN4SP](https://labs.dese.iisc.ac.in/pnsil/neural-networks-and-learning-systems-i-fall-2020/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgMDNELGJ1CZn1399dV7_U4VBNJflRsua)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL05umP7R6ij35ShKLDqccJSDntugY4FQT)
- [UvAML-1](https://uvaml1.github.io/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL8FnQMH2k7jzhtVYbKmvrMyXDYMmgjj_n)
- [ML-Kernels](http://members.cbio.mines-paristech.fr/~jvert/svn/kernelcourse/course/2021mva/index.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLD93kGj6_EdrkNj27AZMecbRlQ1SMkp_o)
- [ContLearn'21](https://course.continualai.org/background/details)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLm6QXeaB-XkBfM5RgQP6wCR7Jegdg51Px)
- [Causal'21](https://stat.ethz.ch/lectures/ss21/causality.php#course_materials)
- [YouTube-Lectures](https://stat.ethz.ch/lectures/ss21/causality.php#course_materials)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLM4Pv4KYYzGy4cIFQ5C36-1jMNLab80Ky)
- [Lecture-Slides](http://adpthu2014.weebly.com/slides--materials.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLiCLbsFQNFAxOmVeqPhI5er1LGf2-L9I4)
- [UCL-RL](http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLqYmG7hTraZDM-OYHWgPebj2MfCFzFObQ)
- [RL-Udacity](https://eu.udacity.com/course/reinforcement-learning--ud600)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLAwxTw4SYaPnidDwo9e2c7ixIsu_pdSNp)
- [RL-IITM](https://www.cse.iitm.ac.in/~ravi/courses/Reinforcement%20Learning.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLNdWVHi37UggQIVcaZcmtGGEQHY9W7d9D)
- [CS-294](http://rail.eecs.berkeley.edu/deeprlcoursesp17/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLkFD6_40KJIwTmSbCv9OVJB3YaO4sFwkX)
- [CS-294](http://rail.eecs.berkeley.edu/deeprlcourse-fa17/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLkFD6_40KJIznC9CDbVTjAF2oyt8_VAe3)
- [Deep-RL](https://sites.google.com/view/deep-rl-bootcamp/lectures)
- [YouTube-Lectures](https://www.youtube.com/channel/UCTgM-VlXKuylPrZ_YGAJHOw/videos)
- [DERL-17](http://dalimeeting.org/dali2017/data-efficient-reinforcement-learning.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL-tWvTpyd1VAvDpxukup6w-SuZQQ7e8K8)
- [CS-294-112](http://rail.eecs.berkeley.edu/deeprlcourse-fa18/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLkFD6_40KJIxJMR-j5A1mkxK26gh_qg37)
- [CS-885](https://cs.uwaterloo.ca/~ppoupart/teaching/cs885-spring18/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLdAoL1zKcqTXFJniO3Tqqn6xMBBL07EDc)
- [10-703](http://www.andrew.cmu.edu/course/10-703/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLpIxOj-HnDsNfvOwRKLsUobmnF2J1l5oV)
- [RLOC](http://web.mit.edu/dimitrib/www/RLbook.html)
- [Lecture-Videos](http://web.mit.edu/dimitrib/www/RLbook.html)
- [CS 234](http://web.stanford.edu/class/cs234/index.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLoROMvodv4rOSOPzutgyCTapiGlY2Nd8u)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLD7HFcN7LXRe9nWEX3Up-RiCDi6-0mqVC)
- [NDRLC-19](https://www.math.ias.edu/ndrlc)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLdDZb3TwJPZ61sGqd6cbWCmTc275NrKu3)
- [CS 285](http://rail.eecs.berkeley.edu/deeprlcourse-fa19)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLkFD6_40KJIwhWJpGazJ9VSj9CFMkb79A)
- [CS 330](https://cs330.stanford.edu/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLoROMvodv4rMC6zfYmnD7UG3LVvwaITY5)
- [RL-theory-sem](https://sites.google.com/view/rltheoryseminars/past-seminars)
- [YouTube-Lectures](https://www.youtube.com/channel/UCfBFutC9RbKK6p--B4R9ebA/videos)
- [CS 285](http://rail.eecs.berkeley.edu/deeprlcourse-fa20)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL_iWQOsE6TfURIIhCrlt-wj9ByIVpbfGc)
- [RL-intro](https://amfarahmand.github.io/IntroRL)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLCveiXxL2xNbiDq51a8iJwPRq2aO0ykrq)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLp0hSY2uBeP8q2G3mfHGVGvQFEMX0QRWM)
- [6.884-CSL](https://pulkitag.github.io/6.884/lectures)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLwNwxAG-kBxPMTIs2fKWSsf7HqL2TcC78)
- [RL-21](http://web.mit.edu/dimitrib/www/RLbook.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLmH30BG15SIp79JRJ-MVF12uvB1qPtPzn)
- [INF8953DE](https://chandar-lab.github.io/INF8953DE)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLImtCgowF_ES_JdF_UcM60EXTcGZg67Ua)
- [CS 285](http://rail.eecs.berkeley.edu/deeprlcourse)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL_iWQOsE6TfXxKgI1GgyV1B_Xa0DxE5eH)
- [RL-series](https://deepmind.com/learning-resources/reinforcement-learning-series-2021)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLqYmG7hTraZDVH599EItlEWsUOsJbAodm)
- [RL-22](http://web.mit.edu/dimitrib/www/RLbook.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLmH30BG15SIoXhxLldoio0BhsIY84YMDj)
- [MLSS-Tuebingen](http://mlss.tuebingen.mpg.de/2013/2013/speakers.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLL0GjJzXhAWTRiW_ynFswMaiLSa0hjCZ3)
- [WUST-Wroclaw](https://www.ii.pwr.edu.pl/~gonczarek/zoubin.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLwUOK5j_XOsdfVAGKErx9HqnrVZIuRbZ2)
- [10-708](http://www.cs.cmu.edu/~epxing/Class/10708/lecture.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLI3nIOD-p5aoXrOzTd1P6CcLavu9rNtC-)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLEqoHzpnmTfA0wc1JxjoVVOrJlx8W0rGf)
- [PGM](https://www.zabaras.com/probabilistic-graphical-models)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLd-PuDzW85AcV4bgdu7wHPL37hm60W4RM)
- [10-708](https://sailinglab.github.io/pgm-spring-2019/)
- [Lecture-Videos](https://sailinglab.github.io/pgm-spring-2019/lectures)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLoZgVqqHOumTY2CAQHL45tQp6kmDnDcqn)
- [10-708](https://www.cs.cmu.edu/~epxing/Class/10708-20/index.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLoZgVqqHOumTqxIhcdcpOAJOOimrRCGZn)
- [CS 5340 - CH](https://www.coursehero.com/sitemap/schools/2652-National-University-of-Singapore/courses/7821096-CS5340/)
- [CS 5340-NB](https://github.com/clear-nus/CS5340-notebooks)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLxg0CGqViygOb9Eyc8IXM27doxjp2SK0H)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLM4Pv4KYYzGwUB4bFy183hwGhpL9ytvA1)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLdk2fd27CQzSd1sQ3kBYL4vtv6GjXvPsE)
- [DLBM-SS](http://deepbayes.ru/2018)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLe5rNUydzV9Q01vWCP9BV7NhJG3j7mz62)
- [DLBM-SS](http://deepbayes.ru/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLe5rNUydzV9QHe8VDStpU0o8Yp63OecdW)
- [ProbAI](https://github.com/probabilisticai/probai-2019)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLRy-VW__9hV8s--JkHXZvnd26KgjRP2ik)
- [MISS-14](http://iplab.dmi.unict.it/miss14/programme.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL_VeUGLULXQtvcCdAgmvKoJ1k0Ajhz-Qu)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgSHH6boFf5uJAUT4ZRiAZc_ofXolkAGK)
- [MISS-16](http://iplab.dmi.unict.it/miss16/programme.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLTRCr47yTx5iXIYSneX3LKf16upaw59wa)
- [OPUS'16](https://opus2016lyon.sciencesconf.org/resource/page/id/2)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL95ayoVLX8GdUKbxu-R9WqRWwzdWcKjti)
- [MISS-18](http://iplab.dmi.unict.it/miss/programme.htm)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL_VeUGLULXQux1dV4iA3XuMX6AueJmGGa)
- [CS 522](http://cs522.stanford.edu/2018/index.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLYn-ZmPR1DtNQJ-ot-L2V2EgUEH6OH_7w)
- [MLHC-19](https://mlhc19mit.github.io/)
- [MIT 6.S897](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-s897-machine-learning-for-healthcare-spring-2019/lecture-notes/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLUl4u3cNGP60B0PQXVQyGNdCyCTDU1Q5j)
- [DLM-20](https://www.ipam.ucla.edu/programs/workshops/deep-learning-and-medical-applications/?tab=schedule)
- [Lecture-Videos](https://www.ipam.ucla.edu/programs/workshops/deep-learning-and-medical-applications/?tab=schedule)
- [AIMI-20](https://aimi.stanford.edu/news-events/aimi-symposium/agenda)
- [YouTube-Lectures](https://www.youtube.com/watch?v=tR2ObiL4il8&list=PLe6zdIMe5B7IR0oDOobXBDBlYY1eqLYPx)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLH39kM3nuavcVOUIIBraBNHjv-CwEd1uV)
- [Lec-part1](https://streams.tum.de/Mediasite/Play/1f3b894e78f6400daa7885c886b936fb1d)
- [Lec-part2](https://streams.tum.de/Mediasite/Play/6039c846b2f84e7a806024c06e3f5c5c1d)
- [SGP-2017](http://geometry.cs.ucl.ac.uk/SGP2017/?p=gradschool)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLOp-ngXvomHArqntgLVNzuJNdzNx3rDjZ)
- [SGP-2018](https://sgp2018.sciencesconf.org/resource/page/id/7)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLvcoRb-DvAmgpp8LYw7dUvLxh-1Vrrm-v)
- [CS224W](http://snap.stanford.edu/class/cs224w-2018/)
- [Lecture-Videos](http://snap.stanford.edu/class/cs224w-2018/)
- [CS224W](http://snap.stanford.edu/class/cs224w-2019/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL-Y8zK4dwCrQyASidb2mjj_itW2-YYx6-)
- [GLDT](http://www.ipam.ucla.edu/programs/workshops/geometry-and-learning-from-data-tutorials)
- [Lecture-Videos](http://www.ipam.ucla.edu/programs/workshops/geometry-and-learning-from-data-tutorials/?tab=schedule)
- [GeoPro](http://www.ipam.ucla.edu/programs/workshops/workshop-i-geometric-processing/)
- [Lecture-Videos](http://www.ipam.ucla.edu/programs/workshops/workshop-i-geometric-processing/?tab=schedule)
- [Shape-Analysis](http://www.ipam.ucla.edu/programs/workshops/workshop-ii-shape-analysis/)
- [Lecture-Videos](http://www.ipam.ucla.edu/programs/workshops/workshop-ii-shape-analysis/?tab=schedule)
- [Geo-BData](http://www.ipam.ucla.edu/programs/workshops/workshop-iii-geometry-of-big-data)
- [Lecture-Videos](http://www.ipam.ucla.edu/programs/workshops/workshop-iii-geometry-of-big-data/?tab=schedule)
- [DGL-BData](http://www.ipam.ucla.edu/programs/workshops/workshop-iv-deep-geometric-learning-of-big-data-and-applications)
- [Lecture-Videos](http://www.ipam.ucla.edu/programs/workshops/workshop-iv-deep-geometric-learning-of-big-data-and-applications/?tab=schedule)
- [iGDL-20](https://gdl-israel.github.io/schedule.html)
- [Lecture-Videos](https://www.youtube.com/watch?v=c8_32IVn-sg)
- [MLGS-20](https://www.in.tum.de/en/daml/teaching/summer-term-2020/machine-learning-for-graphs-and-sequential-data/)
- [Lecture-Videos](https://www.in.tum.de/daml/teaching/mlgs/)
- [CS224W](http://web.stanford.edu/class/cs224w)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLoROMvodv4rPLKxIpqhjhPgdQy7imNkDn)
- [GDL-AMMI](https://geometricdeeplearning.com/lectures)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLn2-dEmQeTfQ8YVuHBOvAhUlnIPYxkeu3)
- [GDL- DTU, DIKU & AAU](https://geometric-deep-learning.compute.dtu.dk/)
- [Lecture-Videos](https://geometric-deep-learning.compute.dtu.dk/talks-and-materials)
- [ESE 514](https://gnn.seas.upenn.edu/)
- [YouTube-Lectures](https://www.youtube.com/channel/UC_YPrqpiEqkeGOG1TCt0giQ/playlists)
- [CMS-723](http://users.umiacs.umd.edu/~jbg/teaching/CMSC_723/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLegWUnz91WfuPebLI97-WueAP90JO-15i)
- [DL4NLP](https://github.com/UKPLab/deeplearning4nlp-tutorial)
- [YouTube-Lectures](https://www.youtube.com/channel/UC1zCuTrfpjT6Sv2kJk-JkvA/videos)
- [DL-NLP](http://www.cs.ox.ac.uk/teaching/courses/2016-2017/dl/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL613dYIGMXoZBtZhbyiBqb0QtgK6oJbpm)
- [DL-SL](https://telecombcn-dl.github.io/2017-dlsl/)
- [Lecture-Videos](https://telecombcn-dl.github.io/2017-dlsl/)
- [NN4NLP](http://www.phontron.com/class/nn4nlp2017/)
- [Code](https://github.com/neubig/nn4nlp-code)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL8PYTP1V4I8ABXzdqtOpB_eqBlVAz_xPT)
- [NN4-NLP](http://www.phontron.com/class/nn4nlp2018/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL8PYTP1V4I8Ba7-rY4FoB4-jfuJ7VDKEE)
- [CS-6101](https://www.comp.nus.edu.sg/~kanmy/courses/6101_1810/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLllwxvcS7ca5eD44KTCiT7Rmu_hFAafXB)
- [NN4NLP](http://www.phontron.com/class/nn4nlp2019/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL8PYTP1V4I8Ajj7sY6sdtmjgkt7eo2VMs)
- [CS224n](http://web.stanford.edu/class/cs224n/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLoROMvodv4rOhcuXMZkNm7j3fVwBBY42z)
- [CS224U](https://web.stanford.edu/class/cs224u)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLoROMvodv4rObpMCir6rNNUlFAn56Js20)
- [CS 11-747](http://www.phontron.com/class/nn4nlp2020/schedule.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL8PYTP1V4I8CJ7nMxMC8aXv8WqKYwj-aJ)
- [CS 685](https://people.cs.umass.edu/~miyyer/cs685)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLWnsVgP6CzadmQX6qevbar3_vDBioWHJL)
- [EN 601.468/668](http://mt-class.org/jhu/syllabus.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLQrCiUDqDLG0lQX54o9jB4phJ-SLI6ZBQ)
- [CS 11-747](http://www.phontron.com/class/nn4nlp2021)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL8PYTP1V4I8AkaHEJ7lOOrlex-pcxS-XV)
- [DS-GA 1011](https://drive.google.com/drive/folders/1ykXBtophaY_65VHK_8yDzZQJwfJDD5Ve)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLdH9u0f1XKW_s-c8EcgJpn_HJz5Jj1IRf)
- [CS224n](https://web.stanford.edu/class/archive/cs/cs224n/cs224n.1214/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLoROMvodv4rOSH4v6133s9LFPRHjEmbmJ)
- [DL-SL](https://telecombcn-dl.github.io/2017-dlsl/)
- [Lecture-Videos](https://telecombcn-dl.github.io/2017-dlsl/)
- [YouTube-Videos](https://www.youtube.com/playlist?list=PL-5DCZHuHZkWeF9ljIjoC_X5gHRLNtIkU)
- [SANE-15](http://www.saneworkshop.org/sane2015/)
- [YouTube-Videos](https://www.youtube.com/playlist?list=PLBJWRPcgwk7sZOB4UTVilWWnRg84L9o5i)
- [YouTube-Videos](https://www.youtube.com/channel/UCHk6uq1Cr9J3k5KNmIsYUNw/videos)
- [SANE-17](http://www.saneworkshop.org/sane2017/)
- [YouTube-Videos](https://www.youtube.com/playlist?list=PLBJWRPcgwk7tNLaBVu_S90ZQSblO3bwjg)
- [SANE-18](http://www.saneworkshop.org/sane2018/)
- [YouTube-Videos](https://www.youtube.com/playlist?list=PLBJWRPcgwk7sjMANn8jqosyHIMe6DJhmn)
- [YouTube-Videos](https://www.youtube.com/playlist?list=PLM4Pv4KYYzGyFYCXV6YPWAKVOR2gmHnQd)
- [YouTube-Videos](https://www.youtube.com/playlist?list=PLbwKcm5vdiSYU54xFUG1zoxQTulqvIcJu)
- [Russian-mirror](https://www.youtube.com/playlist?list=PL-_cKNuVAYAUp0eCL7KO8QY4ETY3tIDFH)
- [CAP-5415](http://crcv.ucf.edu/courses/CAP5415/Fall2012/index.php)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLd3hlSJsX_Imk_BPmB_H3AQjFKZS9XgZm)
- [CSCI 510/EENG 510](http://inside.mines.edu/~whoff/courses/EENG510)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLyED3W677ALNv8Htn0f9Xh-AHe1aZPftv)
- [CSCI 512/EENG 512](http://inside.mines.edu/~whoff/courses/EENG512/index.htm)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL4B3F8D4A5CAD8DA3)
- [YouTube-Videos](https://www.youtube.com/playlist?list=PLZ9qNFMHZ-A79y1StvUUqgyL-O0fZh2rs)
- [mvg](https://vision.in.tum.de/teaching/ss2014/mvg2014)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLTBdjV_4f-EJn6udZ34tht9EVIW7lbeo4)
- [CS-205A](http://graphics.stanford.edu/courses/cs205a/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLQ3UicqQtfNvQ_VzflHYKhAqZiTxOkSwi)
- [CAP-5415](http://crcv.ucf.edu/courses/CAP5415/Fall2014/index.php)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLd3hlSJsX_ImKP68wfKZJVIPTd8Ie5u-9)
- [ECSE-6969](https://www.ecse.rpi.edu/~rjradke/cvfxcourse.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLuh62Q4Sv7BUJlKlt84HFqSWfW36MDd5a)
- [Autonavx](https://jsturm.de/wp/teaching/autonavx-slides/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLTBdjV_4f-EKBCUs1HmMtsnXv4JUoFrzg)
- [RobotMapping](http://ais.informatik.uni-freiburg.de/teaching/ws13/mapping/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgnQpQtFTOGQrZ4O5QzbIHgl3b1JHimN_)
- [CP-Udacity](https://eu.udacity.com/course/computational-photography--ud955)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLAwxTw4SYaPn-unAWtRMleY4peSe4OzIY)
- [ECSE-4540](https://www.ecse.rpi.edu/~rjradke/improccourse.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLuh62Q4Sv7BUf60vkjePfcOQc8sHxmnDX)
- [LoDP](https://sites.google.com/site/marclevoylectures/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL7ddpXYvFXspUN0N-gObF1GXoCA-DA-7i)
- [CV-Udacity](https://eu.udacity.com/course/introduction-to-computer-vision--ud810)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLAwxTw4SYaPnbDacyrK_kB_RUkuxQBlCm)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLvqB6_mDBCdlnT84LK_NvbOqcXLlOTR8j)
- [PG-I&II](https://www.ipb.uni-bonn.de/photogrammetry-i-ii/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgnQpQtFTOGRsi5vzy9PiQpNWHjq-bKN1)
- [DLCV-16](http://imatge-upc.github.io/telecombcn-2016-dlcv/)
- [DLCV-17](https://telecombcn-dl.github.io/2017-dlcv/)
- [DLCV-18](https://telecombcn-dl.github.io/2018-dlcv/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL-5eMc3HQTBbuaTFP4wsfD2Y2VqEfQcaP)
- [DeepLearning.AI](https://www.deeplearning.ai/deep-learning-specialization/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLkDaE6sCZn6Gl29AoE31iwdVwSG-KnDzF)
- [VMCV](https://vision.in.tum.de/teaching/ws2016/vmcv2016)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLTBdjV_4f-EJ7A2iIH5L5ztqqrWYjP2RI)
- [WS-CV](http://www.as.huji.ac.il/cse)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLTn74Qx5mPsSniA5tt6W-o0OGYEeKScug)
- [Nptel](https://onlinecourses.nptel.ac.in/noc18_ee08/preview)
- [Notebooks](https://github.com/iitkliv/dlvcnptel)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLuv3GM6-gsE1Biyakccxb3FAn4wBLyfWf)
- [TASCV](https://pjreddie.com/courses/computer-vision/)
- [TASCV-UW](https://courses.cs.washington.edu/courses/cse455/18sp/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLjMXczUzEYcHvw5YYSU92WrY8IwhTuq7p)
- [modern-robot](http://hades.mech.northwestern.edu/index.php/Modern_Robotics)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLggLP4f-rq02vX0OQQ5vrCxbJrzamYDfx)
- [CS236860](https://vistalab-technion.github.io/cs236860/info/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLM0a6Z788YAZOxUyWda9y3N_i2upIj1Ep)
- [Workshop-1](http://www.ihp.fr/sites/default/files/conf1-04_au_08_fevr-imaging2019.pdf)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL9kd4mpdvWcAzD5Aq-P1TrLLiYckrloxw)
- [deepvideo](https://mcv-m6-video.github.io/deepvideo-2019/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL-5eMc3HQTBbPY-627Gornj09pZrNQgPD)
- [workshop-2](https://imaging-in-paris.github.io/semester2019/workshop2prog)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL9kd4mpdvWcAzD5Aq-P1TrLLiYckrloxw)
- [workshop-3](https://imaging-in-paris.github.io/semester2019/workshop3prog)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL9kd4mpdvWcAzD5Aq-P1TrLLiYckrloxw)
- [CV-nptel](https://nptel.ac.in/courses/106/105/106105216/)
- [YouTube-Lectures](https://nptel.ac.in/courses/106/105/106105216/)
- [EECS 498-007](https://web.eecs.umich.edu/~justincj/teaching/eecs498/)
- [Lecture-Videos](http://leccap.engin.umich.edu/leccap/site/jhygcph151x25gjj1f0)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL5-TkQAfAZFbzxjBHtzdVCWE0Zbhomg7r)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgnQpQtFTOGQh_J16IMwDlji18SWQ2PZ6)
- [CV3DST](https://dvl.in.tum.de/teaching/cv3dst-ss20/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLog3nOPCjKBneGyffEktlXXMfv1OtKmCs)
- [ADL4CV](https://dvl.in.tum.de/teaching/adl4cv-ss20)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLog3nOPCjKBnjhuHMIXu4ISE4Z4f2jm39)
- [CVF](https://hci.iwr.uni-heidelberg.de/ial/cvf)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLuRaSnb3n4kRAbnmiyGd77hyoGzO9wPde)
- [MIT-Vision](https://sites.google.com/view/visionseminar/past-talks)
- [YouTube-Lectures](https://www.youtube.com/channel/UCLMiFkFyfcNnZs6iwYLPI9g/videos)
- [TUM-AI](https://niessner.github.io/TUM-AI-Lecture-Series)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLQ8Y4kIIbzy8kMlz7cRqz-BjbdyWsfLXt)
- [3DGV seminar](https://3dgv.github.io/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLZk0jtN0g8e-xVTfsiV67q8Iz1cZO_FpV)
- [EVIS-SS20](https://sites.google.com/view/guillermogallego/teaching/event-based-robot-vision)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL03Gm3nZjVgUFYUh3v5x8jVonjrGfcal8)
- [DL-CV'20](https://onlinecourses.nptel.ac.in/noc20_cs88/preview)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLyqSpQzTE6M_PI-rIz4O1jEgffhJU9GgG)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLMpQLEui13s2DHbw6kTTxwQma8rehlfZE)
- [CAP5415-CV](https://www.crcv.ucf.edu/courses/cap5415-fall-2020/schedule/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLd3hlSJsX_Ikm5il1HgmDB_z62BeoikFX)
- [ECE-417 MSP](https://courses.engr.illinois.edu/ece417/fa2020/)
- [Lecture Videos](https://mediaspace.illinois.edu/channel/ECE%20417/26816181)
- [Comp.Vis](https://uni-tuebingen.de/fakultaeten/mathematisch-naturwissenschaftliche-fakultaet/fachbereiche/informatik/lehrstuehle/autonomous-vision/lectures/computer-vision/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL05umP7R6ij35L2MHGzis8AEHz7mg381_)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLxg0CGqViygP47ERvqHw_v7FVnUovJeaz)
- [DL4CV](https://dl4cv.github.io/schedule.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL_Z2_U9MIJdNgFM7-f2fZ9ZxjVRP_jhJv)
- [CSC 2547](http://www.pair.toronto.edu/csc2547-w21)
- [YouTube-Lectures](https://www.youtube.com/channel/UCrsmAXnwu6sgccWevW12Dfg/videos)
- [FPCV](https://fpcv.cs.columbia.edu/)
- [YouTube-Lectures](https://www.youtube.com/channel/UCf0WB91t8Ky6AuYcQV0CcLw/videos)
- [SDC'21](https://uni-tuebingen.de/de/123611)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL05umP7R6ij321zzKXK6XCQXAaaYjQbzr)
- [GSS-2012](https://www.ipam.ucla.edu/programs/summer-schools/graduate-summer-school-deep-learning-feature-learning/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLHyI3Fbmv0SdzMHAy0aN59oYnLy5vyyTA)
- [Big Data](https://simons.berkeley.edu/workshops/schedule/316)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgKuh-lKre13RmUC2AybRvVAxO5DEMIBH)
- [MLSS-13](http://mlss.tuebingen.mpg.de/2013/2013/index.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLqJm7Rc5-EXFv6RXaPZzzlzo93Hl0v91E)
- [GSS-CV](http://www.ipam.ucla.edu/programs/summer-schools/graduate-summer-school-computer-vision/)
- [Video-Lectures](http://www.ipam.ucla.edu/programs/summer-schools/graduate-summer-school-computer-vision/?tab=schedule)
- [MLSS-14](http://mlss2014.hiit.fi/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLqdbxUnkqOw2nKn7VxYqIrKWcqRkQYOsF)
- [MLSS-14](http://www.mlss2014.com/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLZSO_6-bSqHQCIYxE3ycGLXHMjK3XV7Iz)
- [DLSS-15](https://sites.google.com/site/deeplearningsummerschool/home)
- [YouTube-Lectures](http://videolectures.net/deeplearning2015_montreal/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgSHH6boFf5uJAUT4ZRiAZc_ofXolkAGK)
- [SigProc](http://www.him.uni-bonn.de/signal-processing-2016/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLul8LCT3AJqSQo3lr5RbwxJ92RsgRuDtx)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL34iyE0uXtxo7vPXGFkmm6KbgZQwjf9Kf)
- [DL-SS-16](https://sites.google.com/site/deeplearningsummerschool2016/home)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL5bqIc6XopCbb-FvnHmD1neVlQKwGzQyR)
- [LxMLS-16](http://lxmls.it.pt/2016/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLToLj8M4ao-fymxXBIOU6sF1NGFLb5EiX)
- [MLAAS-16](http://www.fields.utoronto.ca/activities/16-17/machine-learning)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLfsVAYSMwskuQcRkuDApP40lX_i08d0QK)
- [Video-Lectures](http://www.fields.utoronto.ca/video-archive/event/2267)
- [MLAAS-17](http://www.fields.utoronto.ca/activities/17-18/machine-learning)
- [Video Lectures](http://www.fields.utoronto.ca/video-archive/event/2487)
- [MLSS-17](http://mlss.tuebingen.mpg.de/2017/index.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLqJm7Rc5-EXFUOvoYCdKikfck8YeUCnl9)
- [RepLearn](https://simons.berkeley.edu/workshops/abstracts/3750)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgKuh-lKre13UNV4ztsWUXciUZ7x_ZDHz)
- [ML-BootCamp](https://simons.berkeley.edu/workshops/abstracts/3748)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgKuh-lKre11GbZWneln-VZDLHyejO7YD)
- [Optim-Stats](https://simons.berkeley.edu/workshops/abstracts/4795)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgKuh-lKre13ACD44z2FH-IVP1e8ip5JO)
- [DL: TAA](http://doc.ml.tu-berlin.de/dlworkshop2017/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLJOzdkh8T5kqCNV_v1w2tapvtJDZYiohW)
- [DLRL-2017](https://mila.quebec/en/cours/deep-learning-summer-school-2017/)
- [Lecture-videos](http://videolectures.net/deeplearning2017_montreal/)
- [SPMML](https://www.icts.res.in/discussion-meeting/SPMML2017)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL04QVxpjcnjhtL3IIVyFRMOgdhWtPn7YJ)
- [LxMLS-17](http://lxmls.it.pt/2017/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLToLj8M4ao-fuRfnzEJCCnvuW2_FeJ73N)
- [IL-2017](https://simons.berkeley.edu/workshops/schedule/3749)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgKuh-lKre10T2POF-WzXh0ckdpyvANUx)
- [CCML-17](https://simons.berkeley.edu/workshops/schedule/3751)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgKuh-lKre12eXz4dnvc8oervo2_Af4iU)
- [DS-BootCamp](https://simons.berkeley.edu/workshops/abstracts/6680)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgKuh-lKre13r1Qrnrejj3f498-NurSf3)
- [DLBM-SS](http://deepbayes.ru/2018/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLe5rNUydzV9Q01vWCP9BV7NhJG3j7mz62)
- [IPAM-Workshop](https://www.ipam.ucla.edu/programs/workshops/new-deep-learning-techniques/?tab=schedule)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLHyI3Fbmv0SdM0zXj31HWjG9t9Q0v2xYN)
- [DLRL-2018](https://dlrlsummerschool.ca/2018-event/)
- [Lecture-videos](http://videolectures.net/DLRLsummerschool2018_toronto/)
- [MLSS-18](http://mlss.ii.uam.es/mlss2018/index.html)
- [YouTube-Lectures](https://www.youtube.com/channel/UCbPJHr__eIor_7jFH3HmVHQ/videos)
- [Course-videos](http://mlss.ii.uam.es/mlss2018/speakers.html)
- [TBML-18](https://www.icts.res.in/discussion-meeting/tbml2018)
- [Lecture-Videos](https://www.icts.res.in/discussion-meeting/tbml2018/talks)
- [YouTube-Videos](https://www.youtube.com/playlist?list=PL04QVxpjcnjj1DgnXxFBo2fkSju4r-ggr)
- [PLinML-18](https://plinml.mimuw.edu.pl/)
- [YouTube-Videos](https://www.youtube.com/playlist?list=PLoaWrlj9TDhPcA6N9dZQ6GPXboYuumDRp)
- [BDAA-18](http://research.iac.es/winterschool/2018/pages/book-ws2018.php)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLM4Pv4KYYzGx42W5pSp3Itetp0u-PENtI)
- [MLASS](http://www.fields.utoronto.ca/activities/18-19/machine-learning)
- [Video Lectures](http://www.fields.utoronto.ca/video-archive/event/2681)
- [MIFODS-seminar](http://mifods.mit.edu/seminar.php)
- [Lecture-videos](http://mifods.mit.edu/seminar.php)
- [LMSS](https://lmss.tech.cornell.edu/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLycW2Yy79JuxbQZ9uHEu_NS3cGNomhL2A)
- [MLSS'19](https://mlssafrica.com/programme-schedule/)
- [YouTube-Lectures](https://www.youtube.com/channel/UC722CmQVgcLtxt_jXr3RyWg/videos)
- [DLBC-19](https://simons.berkeley.edu/workshops/schedule/10624)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgKuh-lKre12c2Il9mNX0Cmp9Z4oFNrQh)
- [FoDL-19](https://simons.berkeley.edu/workshops/schedule/10627)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgKuh-lKre11ekU7g-Z_qsvjDD8cT-hi9)
- [MoD-19](https://www.turing.ac.uk/sites/default/files/2019-05/agenda_9_3.pdf)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLuD_SqLtxSdX_w1Ztexpzl_EJgFQSkWez)
- [DLBM-SS](http://deepbayes.ru/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLe5rNUydzV9QHe8VDStpU0o8Yp63OecdW)
- [MoDL-DS](https://gateway.newton.ac.uk/event/ofbw46)
- [Lecture-Videos](https://gateway.newton.ac.uk/event/ofbw46/programme)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLD7HFcN7LXRe30qq36It2XCljxc340O_d)
- [DLfSS](https://dl4sci-school.lbl.gov/agenda)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL20S5EeApOSvfvEyhCPOUzU7zkBcR5-eL)
- [ECDL](https://simons.berkeley.edu/workshops/schedule/10629)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgKuh-lKre10BpafDrv0fg2VNUweWXWVd)
- [FSDL-M19](https://fullstackdeeplearning.com/march2019)
- [YouTube-Lectures-Day-1](https://www.youtube.com/playlist?list=PL1T8fO7ArWlcf3Hc4VMEVBlH8HZm_NbeB)
- [Day-2](https://www.youtube.com/playlist?list=PL1T8fO7ArWlf6TWwdstb-PcwlubnlrKrm)
- [ACM-ML](https://india.acm.org/education/machine-learning)
- [nptel](https://nptel.ac.in/courses/128/106/128106011/)
- [YouTube-Lectures](https://nptel.ac.in/courses/128/106/128106011)
- [DLRL-2019](https://dlrlsummerschool.ca/past-years)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLKlhhkvvU8-aXmPQZNYG_e-2nTd0tJE8v)
- [MoML-SGS](http://www.msri.org/summer_schools/866#schedule)
- [MoML-SS](http://mathofml.cs.washington.edu/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLTPQEx-31JXhguCush5J7OGnEORofoCW9)
- [WTDL](https://www.math.ias.edu/wtdl)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLdDZb3TwJPZ5dqqg_S-rgJqSFeH4DQqFQ)
- [CVSS-2019](http://orga.cvss.cc/program-cvss-2019/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLeCNfJWZKqxsvidOlVLtWq9s7sIsX1QTC)
- [LUCS](https://mifods.mit.edu/complex.php)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLM4Pv4KYYzGwhIHcaY6zYR7M9hhFO4Vud)
- [MLSS](http://mlss.tuebingen.mpg.de/2020/schedule.html)
- [YouTube-Lectures](https://www.youtube.com/channel/UCBOgpkDhQuYeVVjuzS5Wtxw/videos)
- [EEML](https://www.eeml.eu/program)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLaKY4p4V3gE1j01FOY2FeglV4jRntQj84)
- [LxMLS](http://lxmls.it.pt/2020/?page_id=19)
- [YouTube-Lectures](https://www.youtube.com/channel/UCkVFZWgT1jR75UvSLGP9_mw)
- [ML-Opt new dir.](https://www.ias.edu/video/workshop/2020/0415-16)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLdDZb3TwJPZ4Ri6i0MIdesIEpYK4lx17Q)
- [M2L-school](https://www.m2lschool.org/talks)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLF-wkqRv4u1YRbfnwN8cXXyrmXld-sked)
- [1W-ML](https://sites.google.com/view/oneworldml/past-events)
- [YouTube-Lectures](https://www.youtube.com/channel/UCz7WlgXs20CzugkfxhFCNFg/videos)
- [DLT'21](https://deep-learning-summer-school.princeton.edu/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL2mB9GGlueJj_FNjJ8RWgz4Nc_hCSXfMU)
- [6.S099-AGI](https://agi.mit.edu/)
- [Lecture-Videos](https://agi.mit.edu/)
- [AI-Pod](https://lexfridman.com/ai/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4)
- [modern-AI](https://engineering.nyu.edu/academics/departments/electrical-and-computer-engineering/ece-seminar-series/modern-artificial)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLhwo5ntex8iY9xhpSwWas451NgVuqBE7U)
- [DLAS](https://video.ias.edu/deeplearning/2019/0222)
- [Agenda](https://www.math.ias.edu/tml/dlasagenda)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLdDZb3TwJPZ7aAxhIHALBoh8l6-UxmMNP)
- [@sikamaratsai](https://x.com/@sikamaratsai)
- [GSS-2012](https://www.ipam.ucla.edu/programs/summer-schools/graduate-summer-school-deep-learning-feature-learning/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLHyI3Fbmv0SdzMHAy0aN59oYnLy5vyyTA)
- [Big Data](https://simons.berkeley.edu/workshops/schedule/316)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgKuh-lKre13RmUC2AybRvVAxO5DEMIBH)
- [MLSS-13](http://mlss.tuebingen.mpg.de/2013/2013/index.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLqJm7Rc5-EXFv6RXaPZzzlzo93Hl0v91E)
- [GSS-CV](http://www.ipam.ucla.edu/programs/summer-schools/graduate-summer-school-computer-vision/)
- [Video-Lectures](http://www.ipam.ucla.edu/programs/summer-schools/graduate-summer-school-computer-vision/?tab=schedule)
- [MLSS-14](http://mlss2014.hiit.fi/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLqdbxUnkqOw2nKn7VxYqIrKWcqRkQYOsF)
- [MLSS-14](http://www.mlss2014.com/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLZSO_6-bSqHQCIYxE3ycGLXHMjK3XV7Iz)
- [DLSS-15](https://sites.google.com/site/deeplearningsummerschool/home)
- [YouTube-Lectures](http://videolectures.net/deeplearning2015_montreal/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgSHH6boFf5uJAUT4ZRiAZc_ofXolkAGK)
- [SigProc](http://www.him.uni-bonn.de/signal-processing-2016/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLul8LCT3AJqSQo3lr5RbwxJ92RsgRuDtx)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL34iyE0uXtxo7vPXGFkmm6KbgZQwjf9Kf)
- [DL-SS-16](https://sites.google.com/site/deeplearningsummerschool2016/home)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL5bqIc6XopCbb-FvnHmD1neVlQKwGzQyR)
- [LxMLS-16](http://lxmls.it.pt/2016/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLToLj8M4ao-fymxXBIOU6sF1NGFLb5EiX)
- [MLAAS-16](http://www.fields.utoronto.ca/activities/16-17/machine-learning)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLfsVAYSMwskuQcRkuDApP40lX_i08d0QK)
- [Video-Lectures](http://www.fields.utoronto.ca/video-archive/event/2267)
- [MLAAS-17](http://www.fields.utoronto.ca/activities/17-18/machine-learning)
- [Video Lectures](http://www.fields.utoronto.ca/video-archive/event/2487)
- [MLSS-17](http://mlss.tuebingen.mpg.de/2017/index.html)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLqJm7Rc5-EXFUOvoYCdKikfck8YeUCnl9)
- [RepLearn](https://simons.berkeley.edu/workshops/abstracts/3750)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgKuh-lKre13UNV4ztsWUXciUZ7x_ZDHz)
- [ML-BootCamp](https://simons.berkeley.edu/workshops/abstracts/3748)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgKuh-lKre11GbZWneln-VZDLHyejO7YD)
- [Optim-Stats](https://simons.berkeley.edu/workshops/abstracts/4795)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgKuh-lKre13ACD44z2FH-IVP1e8ip5JO)
- [DL: TAA](http://doc.ml.tu-berlin.de/dlworkshop2017/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLJOzdkh8T5kqCNV_v1w2tapvtJDZYiohW)
- [DLRL-2017](https://mila.quebec/en/cours/deep-learning-summer-school-2017/)
- [Lecture-videos](http://videolectures.net/deeplearning2017_montreal/)
- [SPMML](https://www.icts.res.in/discussion-meeting/SPMML2017)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL04QVxpjcnjhtL3IIVyFRMOgdhWtPn7YJ)
- [LxMLS-17](http://lxmls.it.pt/2017/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLToLj8M4ao-fuRfnzEJCCnvuW2_FeJ73N)
- [IL-2017](https://simons.berkeley.edu/workshops/schedule/3749)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgKuh-lKre10T2POF-WzXh0ckdpyvANUx)
- [CCML-17](https://simons.berkeley.edu/workshops/schedule/3751)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgKuh-lKre12eXz4dnvc8oervo2_Af4iU)
- [DS-BootCamp](https://simons.berkeley.edu/workshops/abstracts/6680)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgKuh-lKre13r1Qrnrejj3f498-NurSf3)
- [DLBM-SS](http://deepbayes.ru/2018/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLe5rNUydzV9Q01vWCP9BV7NhJG3j7mz62)
- [IPAM-Workshop](https://www.ipam.ucla.edu/programs/workshops/new-deep-learning-techniques/?tab=schedule)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLHyI3Fbmv0SdM0zXj31HWjG9t9Q0v2xYN)
- [DLRL-2018](https://dlrlsummerschool.ca/2018-event/)
- [Lecture-videos](http://videolectures.net/DLRLsummerschool2018_toronto/)
- [MLSS-18](http://mlss.ii.uam.es/mlss2018/index.html)
- [YouTube-Lectures](https://www.youtube.com/channel/UCbPJHr__eIor_7jFH3HmVHQ/videos)
- [Course-videos](http://mlss.ii.uam.es/mlss2018/speakers.html)
- [TBML-18](https://www.icts.res.in/discussion-meeting/tbml2018)
- [Lecture-Videos](https://www.icts.res.in/discussion-meeting/tbml2018/talks)
- [YouTube-Videos](https://www.youtube.com/playlist?list=PL04QVxpjcnjj1DgnXxFBo2fkSju4r-ggr)
- [PLinML-18](https://plinml.mimuw.edu.pl/)
- [YouTube-Videos](https://www.youtube.com/playlist?list=PLoaWrlj9TDhPcA6N9dZQ6GPXboYuumDRp)
- [BDAA-18](http://research.iac.es/winterschool/2018/pages/book-ws2018.php)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLM4Pv4KYYzGx42W5pSp3Itetp0u-PENtI)
- [MLASS](http://www.fields.utoronto.ca/activities/18-19/machine-learning)
- [Video Lectures](http://www.fields.utoronto.ca/video-archive/event/2681)
- [MIFODS-seminar](http://mifods.mit.edu/seminar.php)
- [Lecture-videos](http://mifods.mit.edu/seminar.php)
- [LMSS](https://lmss.tech.cornell.edu/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLycW2Yy79JuxbQZ9uHEu_NS3cGNomhL2A)
- [MLSS'19](https://mlssafrica.com/programme-schedule/)
- [YouTube-Lectures](https://www.youtube.com/channel/UC722CmQVgcLtxt_jXr3RyWg/videos)
- [DLBC-19](https://simons.berkeley.edu/workshops/schedule/10624)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgKuh-lKre12c2Il9mNX0Cmp9Z4oFNrQh)
- [FoDL-19](https://simons.berkeley.edu/workshops/schedule/10627)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgKuh-lKre11ekU7g-Z_qsvjDD8cT-hi9)
- [MoD-19](https://www.turing.ac.uk/sites/default/files/2019-05/agenda_9_3.pdf)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLuD_SqLtxSdX_w1Ztexpzl_EJgFQSkWez)
- [DLBM-SS](http://deepbayes.ru/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLe5rNUydzV9QHe8VDStpU0o8Yp63OecdW)
- [MoDL-DS](https://gateway.newton.ac.uk/event/ofbw46)
- [Lecture-Videos](https://gateway.newton.ac.uk/event/ofbw46/programme)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLD7HFcN7LXRe30qq36It2XCljxc340O_d)
- [DLfSS](https://dl4sci-school.lbl.gov/agenda)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL20S5EeApOSvfvEyhCPOUzU7zkBcR5-eL)
- [ECDL](https://simons.berkeley.edu/workshops/schedule/10629)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLgKuh-lKre10BpafDrv0fg2VNUweWXWVd)
- [FSDL-M19](https://fullstackdeeplearning.com/march2019)
- [YouTube-Lectures-Day-1](https://www.youtube.com/playlist?list=PL1T8fO7ArWlcf3Hc4VMEVBlH8HZm_NbeB)
- [Day-2](https://www.youtube.com/playlist?list=PL1T8fO7ArWlf6TWwdstb-PcwlubnlrKrm)
- [ACM-ML](https://india.acm.org/education/machine-learning)
- [nptel](https://nptel.ac.in/courses/128/106/128106011/)
- [YouTube-Lectures](https://nptel.ac.in/courses/128/106/128106011)
- [DLRL-2019](https://dlrlsummerschool.ca/past-years)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLKlhhkvvU8-aXmPQZNYG_e-2nTd0tJE8v)
- [MoML-SGS](http://www.msri.org/summer_schools/866#schedule)
- [MoML-SS](http://mathofml.cs.washington.edu/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLTPQEx-31JXhguCush5J7OGnEORofoCW9)
- [WTDL](https://www.math.ias.edu/wtdl)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLdDZb3TwJPZ5dqqg_S-rgJqSFeH4DQqFQ)
- [CVSS-2019](http://orga.cvss.cc/program-cvss-2019/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLeCNfJWZKqxsvidOlVLtWq9s7sIsX1QTC)
- [LUCS](https://mifods.mit.edu/complex.php)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLM4Pv4KYYzGwhIHcaY6zYR7M9hhFO4Vud)
- [MLSS](http://mlss.tuebingen.mpg.de/2020/schedule.html)
- [YouTube-Lectures](https://www.youtube.com/channel/UCBOgpkDhQuYeVVjuzS5Wtxw/videos)
- [EEML](https://www.eeml.eu/program)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLaKY4p4V3gE1j01FOY2FeglV4jRntQj84)
- [LxMLS](http://lxmls.it.pt/2020/?page_id=19)
- [YouTube-Lectures](https://www.youtube.com/channel/UCkVFZWgT1jR75UvSLGP9_mw)
- [ML-Opt new dir.](https://www.ias.edu/video/workshop/2020/0415-16)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLdDZb3TwJPZ4Ri6i0MIdesIEpYK4lx17Q)
- [M2L-school](https://www.m2lschool.org/talks)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLF-wkqRv4u1YRbfnwN8cXXyrmXld-sked)
- [1W-ML](https://sites.google.com/view/oneworldml/past-events)
- [YouTube-Lectures](https://www.youtube.com/channel/UCz7WlgXs20CzugkfxhFCNFg/videos)
- [DLT'21](https://deep-learning-summer-school.princeton.edu/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PL2mB9GGlueJj_FNjJ8RWgz4Nc_hCSXfMU)
- [Go to Contents](https://github.com/kmario23/deep-learning-drizzle#contents)
- [6.S099-AGI](https://agi.mit.edu/)
- [Lecture-Videos](https://agi.mit.edu/)
- [AI-Pod](https://lexfridman.com/ai/)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4)
- [modern-AI](https://engineering.nyu.edu/academics/departments/electrical-and-computer-engineering/ece-seminar-series/modern-artificial)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLhwo5ntex8iY9xhpSwWas451NgVuqBE7U)
- [DLAS](https://video.ias.edu/deeplearning/2019/0222)
- [Agenda](https://www.math.ias.edu/tml/dlasagenda)
- [YouTube-Lectures](https://www.youtube.com/playlist?list=PLdDZb3TwJPZ7aAxhIHALBoh8l6-UxmMNP)
- [Go to Contents](https://github.com/kmario23/deep-learning-drizzle#contents)
- [Upgrade to Premium](https://x.com/i/premium_sign_up)
- [5:17 PM · Aug 16, 2026](https://x.com/shikamarutsai/status/2088918066310652358)
- [176K Views](https://x.com/shikamarutsai/status/2088918066310652358/analytics)
- [View quotes](https://x.com/shikamarutsai/status/2088918066310652358/quotes)
---
*导出时间: 2026/10/6 11:01:00*
---
## 中文翻译
# 终极免费AI课程体系,取代你的学位。350+门课程,5000+节讲座
**作者**:shikamaru
**日期**:2026-08-16T09:17:31.000Z
**来源**:[https://x.com/shikamarutsai/status/2088918066310652358](https://x.com/shikamarutsai/status/2088918066310652358)
---

我受够了
每次我想学点AI的新东西,都要浪费好几个小时去找像样的课程
YouTube给我随机播放列表。谷歌搜出一堆半死不活的链接。大学网站把最好的内容锁在学生登录后面。付费训练营对本来就该免费的东西要价数千美元
这就是我写这篇文章的原因
## ⭣⭣⭣ 这里的一切都是免费的 ⭣⭣⭣
1. 深度学习
2. 机器学习基础
3. 机器学习中的优化
4. 通用机器学习
5. 强化学习
6. 概率图模型
7. 贝叶斯深度学习
8. 医学影像
9. 图神经网络
10. 自然语言处理
11. 自动语音识别
12. 现代计算机视觉
13. 训练营或暑期学校
14. AGI鸟瞰
# 1. 深度学习(深度神经网络)
1. 机器学习中的神经网络(2012,2014)Geoffrey Hinton,多伦多大学 课程网页 – [讲座幻灯片](http://www.cs.toronto.edu/~hinton/coursera_slides.html),[CSC321-tijmen](https://www.cs.toronto.edu/~tijmen/csc321/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLoRl3Ht4JOcdU872GhiYWf6jwrk_SNhz9),[UofT镜像](https://www.cs.toronto.edu/~hinton/coursera_lectures.html)
2. 神经网络揭秘(2014)Stephen Welch,Welch Labs 课程网页 – [补充代码](https://github.com/stephencwelch/Neural-Networks-Demystified) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLiaHhY2iBX9hdHaRr6b7XevZtgZRa1PoU)
3. 牛津深度学习(2015)Nando de Freitas,牛津大学 课程网页 – [Oxford-ML](http://www.cs.ox.ac.uk/teaching/courses/2014-2015/ml/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLE6Wd9FR--EfW8dtjAuPoTuPcqmOV53Fu)
4. 感知深度学习(2015)Dhruv Batra,弗吉尼亚理工 课程网页 – [ECE-6504](https://computing.ece.vt.edu/~f15ece6504/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLE6Wd9FR--EfW8dtjAuPoTuPcqmOV53Fu)
5. 深度学习(2015秋季)Ali Ghodsi,滑铁卢大学 课程网页 – [STAT-946](https://uwaterloo.ca/data-analytics/deep-learning) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLehuLRPyt1Hyi78UOkMPWCGRxGcA9NVOE)
6. CS231n:用于视觉识别的CNN(2015)Andrej Karpathy,斯坦福大学 课程网页 – [CS231n](http://cs231n.stanford.edu/2015/) 讲座视频 – 无
7. CS224d:用于NLP的深度学习(2015)Richard Socher,斯坦福大学 课程网页 – [CS231n](http://cs231n.stanford.edu/2015/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLmImxx8Char8dxWB9LRqdpCTmewaml96q)
8. 湾区深度学习(2016)众多传奇人物,斯坦福 课程网页 – 无 讲座视频 – [GitHub](https://github.com/gitwizChen/Deep-Learning-Source-Collection)
9. CS231n:用于视觉识别的CNN(2016)Andrej Karpathy,斯坦福大学 课程网页 – [CS231n](http://cs231n.stanford.edu/2016/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLkt2uSq6rBVctENoVBg1TpCC7OQi31AlC),[(学术种子)](https://academictorrents.com/details/46c5af9e2075d9af06f280b55b65cf9b44eb9fe7)
10. 神经网络(2016)Hugo Larochelle,舍布鲁克大学 课程网页 – [神经网络](http://info.usherbrooke.ca/hlarochelle/neural_networks/content.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL6Xpj9I5qXYEcOhn7TqghAJ6NAPrNmUBH),[(学术种子)](https://academictorrents.com/details/e046bca3bc837053d1609ef33d623ee5c5af7300)
11. CS224d:用于NLP的深度学习(2016)Richard Socher,斯坦福大学 课程网页 – [CS224d](http://cs224d.stanford.edu/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLlJy-eBtNFt4CSVWYqscHDdP58M3zFHIG),[(学术种子)](https://academictorrents.com/details/dd9b74b50a1292b4b154094b7338ec1d66e8894d)
12. CS224n:深度学习NLP(2017)Richard Socher,斯坦福大学 课程网页 – [CS224n](http://web.stanford.edu/class/cs224n/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6)
13. CS231n:用于视觉识别的CNN(2017)Justin Johnson,斯坦福大学 课程网页 – [CS231n](http://cs231n.stanford.edu/2017/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv),[(学术种子)](https://academictorrents.com/details/ed8a16ebb346e14119a03371665306609e485f13)
14. 深度学习专题(2017秋季)Ruslan Salakhutdinov,CMU 课程网页 – [10707](https://deeplearning-cmu-10707.github.io/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLpIxOj-HnDsOSL__Buy7_UEVQkyfhHapa)
15. 深度学习速成课(2017)Leo Isikdogan,UT Austin 课程网页 – 无 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLWKotBjTDoLj3rXBL-nEIPRN9V3a9Cx07)
16. 深度学习及其应用(2017)François Pitié,都柏林圣三一学院 课程网页 – [EE4C16](https://github.com/frcs/4C16-2017) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLIo1iEzl5iB9NkulNR0X5vXN8AaEKglWT)
17. 深度学习(2018)Andrew Ng,斯坦福大学 课程网页 – [CS230](http://cs230.stanford.edu/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLoROMvodv4rOABXSygHTsbvUz4G_YQhOb)
18. UvA深度学习(2018)Efstratios Gavves,阿姆斯特丹大学 课程网页 – [UvA-DLC](https://uvadlc.github.io/) 讲座视频 – [讲座视频](https://uvadlc.github.io/lectures-sep2018.html)
19. 高级深度学习与强化学习(2018)众多传奇人物,DeepMind 课程网页 – 无 讲座视频 – [讲座视频](https://uvadlc.github.io/lectures-sep2018.html)
20. 机器学习(2018)Peter Bloem,阿姆斯特丹自由大学 课程网页 – [MLVU](https://mlvu.github.io/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLCof9EqayQgsORO3pFzeYZFz6cszYO0VJ)
21. 深度学习(2018)Francois Fleuret,EPFL 课程网页 – [EE-59](https://fleuret.org/ee559-2018/dlc) 讲座视频 – [视频讲座](https://fleuret.org/ee559-2018/dlc/#materials)
22. 深度学习导论(2017–2021)Alexander Amini,Harini Suresh等,MIT 课程网页 – [6.S191](http://introtodeeplearning.com/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI),[2017版](https://www.youtube.com/playlist?list=PLkkuNyzb8LmxFutYuPA7B4oiMn6cjD6Rs)
23. 自动驾驶汽车深度学习(2017–2018)Lex Fridman,MIT 课程网页 – [6.S094](https://selfdrivingcars.mit.edu/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLrAXtmErZgOeiKm4sgNOknGvNjby9efdf)
24. 深度学习导论(2018春季)Bhiksha Raj等,CMU 课程网页 – [11-485/785](http://deeplearning.cs.cmu.edu/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLp-0K3kfddPwJBJ4Q8We-0yNQEG0fZrSa)
25. 深度学习导论(2018秋季)Bhiksha Raj等,CMU 课程网页 – [11-485/785](http://deeplearning.cs.cmu.edu/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLp-0K3kfddPyH44FP0dl0CbYprvTcfgOI),[含习题课](https://www.youtube.com/playlist?list=PLLR0_ZOlbfD6KDBq93G8-guHI-J1ICeFm)
26. 深度学习专项(2017–2018)Andrew Ng,斯坦福 课程网页 – [DL.AI](https://www.deeplearning.ai/deep-learning-specialization/) 讲座视频 – [YouTube讲座](https://www.youtube.com/channel/UCcIXc5mJsHVYTZR1maL5l9w/playlists)
27. 深度学习(2017秋季)Ali Ghodsi,滑铁卢大学 课程网页 – [STAT-946](https://uwaterloo.ca/data-analytics/teaching/deep-learning-2017) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLehuLRPyt1HxTolYUWeyyIoxDabDmaOSB)
28. 深度学习(2018)Mitesh Khapra,IIT-Madras 课程网页 – [CS7015](https://www.cse.iitm.ac.in/~miteshk/CS7015.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLyqSpQzTE6M9gCgajvQbc68Hk_JKGBAYT)
29. 面向AI的深度学习(2017–2018)UPC Barcelona 课程网页 – [DLAI-2017](https://telecombcn-dl.github.io/2017-dlai/),[DLAI-2018](https://telecombcn-dl.github.io/2018-dlai/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL-5eMc3HQTBagIUjKefjcTbnXC0wXC_vd)
30. 深度学习(2018)Alex Bronstein和Avi Mendelson,Technion 课程网页 – [CS236605](https://vistalab-technion.github.io/cs236605/info/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLM0a6Z788YAZuqg2Ip-_dPLzEd33lZvP2)
31. MIT深度学习(2019)众多研究者,Lex Fridman,MIT 课程网页 – [6.S094, 6.S091, 6.S093](https://deeplearning.mit.edu/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLrAXtmErZgOeiKm4sgNOknGvNjby9efdf)
32. 深度学习书籍配套视频(2017)Ian Goodfellow等 课程网页 – [深度学习书籍幻灯片](https://www.deeplearningbook.org/lecture_slides.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLsXu9MHQGs8df5A4PzQGw-kfviylC-R9b)
33. 深度学习理论(2017秋季)众多传奇人物,斯坦福 课程网页 – [Stats-385](https://stats385.github.io/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLwUqqMt5en7fFLwSDa9V3JIkDam-WWgqy)(前10讲)
34. 神经网络(2017–2018)Grant Sanderson 课程网页 – 无 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi)
35. CS230:深度学习(2018秋季)Andrew Ng,Kian Katanforoosh,斯坦福 课程网页 – [CS230](http://cs230.stanford.edu/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLoROMvodv4rOABXSygHTsbvUz4G_YQhOb)
36. 深度学习理论(2018)众多传奇人物,加那利群岛 课程网页 – [DALI'18](http://dalimeeting.org/dali2018/workshopTheoryDL.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLeCNfJWZKqxtWBnV8gefGqmmPgz9YF4LR)
37. 深度学习导论(2019春季)Alex Smola,UC Berkeley 课程网页 – [Stat-157](http://courses.d2l.ai/berkeley-stat-157/index.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLZSO_6-bSqHQHBCoGaObUljoXAyyqhpFW)
38. 深度无监督学习(2019春季)Pieter Abbeel,UC Berkeley 课程网页 – [CS294-158](https://sites.google.com/view/berkeley-cs294-158-sp19/home) 讲座视频 – [YouTube讲座](https://www.youtube.com/channel/UCf4SX8kAZM_oGcZjMREsU9w/videos)
39. 机器学习(2019)Peter Bloem,阿姆斯特丹自由大学 课程网页 – [MLVU](https://mlvu.github.io/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLCof9EqayQgupldnTvqNy_BThTcME5r93)
40. 计算加速器上的深度学习(2019春季)Alex Bronstein和Avi Mendelson,Technion 课程网页 – [CS236605](https://vistalab-technion.github.io/cs236605/lectures/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLM0a6Z788YAa_WCy_V-q9NrGm5qQegZR5)
41. 深度学习导论(2019春季)Bhiksha Raj等,CMU 课程网页 – [11-785](http://www.cs.cmu.edu/~bhiksha/courses/deeplearning/Spring.2019/www) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLp-0K3kfddPzNdZPX4p0lVi6AcDXBofuf)
42. 深度学习导论(2019秋季)Bhiksha Raj等,CMU 课程网页 – [11-785](https://www.cs.cmu.edu/~bhiksha/courses/deeplearning/Fall.2019/www) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLp-0K3kfddPwz13VqV1PaMXF6V6dYdEsj),[习题课](https://www.youtube.com/playlist?list=PLp-0K3kfddPxf4T59JEQKv5UanLPVsxzz)
43. UvA深度学习(2019春季)Efstratios Gavves,阿姆斯特丹大学 课程网页 – [UvA-DLC](https://uvadlc.github.io/) 讲座视频 – [讲座视频](https://uvadlc.github.io/lectures-apr2019.html)
44. 深度学习(2019)Prabir Kumar Biswas,IIT Kgp 课程网页 – 无 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLbRMhDVUMngc7NM-gDwcBzIYZNFSK2N1a)
45. 深度学习及其应用(2019)Aditya Nigam,IIT Mandi 课程网页 – [CS-671](http://faculty.iitmandi.ac.in/~aditya/cs671/index.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLKvX2d3IUq586Ic9gIhZj6ubpWV-OJfl4)
46. 神经网络(2019秋季)Neil Rhodes,Harvey Mudd学院 课程网页 – [CS-152](https://www.cs.hmc.edu/~rhodes/cs152/schedule.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLgEuVSRbAI9UIQSHGy4l01laA_12YOqEj)
47. 深度学习(2019秋季)Thomas Hofmann,ETH Zürich 课程网页 – [DAL-DL](http://www.da.inf.ethz.ch/teaching/2019/DeepLearning) 讲座视频 – [讲座视频](https://video.ethz.ch/lectures/d-infk/2019/autumn/263-3210-00L.html)
48. 深度学习(2019春季)Milan Straka,查理大学 课程网页 – [NPFL114](https://ufal.mff.cuni.cz/courses/npfl114) 讲座视频 – [讲座视频](https://ufal.mff.cuni.cz/courses/npfl114/1718-summer)
49. UvA深度学习(2019秋季)Efstratios Gavves,阿姆斯特丹大学 课程网页 – [UvA-DLC-19](https://uvadlc.github.io/#lectures) 讲座视频 – [讲座视频](https://uvadlc.github.io/#lectures)
50. 人工智能:原理与技术(2019秋季)Percy Liang和Dorsa Sadigh,斯坦福大学 课程网页 – [CS221](https://stanford-cs221.github.io/autumn2019/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLoROMvodv4rO1NB9TD4iUZ3qghGEGtqNX)
51. 深度学习分析(2017–2019)众多传奇人物,斯坦福大学 课程网页 – [STATS-385](https://stats385.github.io/) 讲座视频 – [YouTube讲座](https://stats385.github.io/lecture_videos)
52. 深度学习基础与应用(2020春季)Debdoot Sheet和Sudeshna Sarkar,IIT-Kgp 课程网页 – [AI61002](http://www.facweb.iitkgp.ac.in/~debdoot/courses/AI61002/Spr2020) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL_AdDfjIMo6pZfwjZ0rJlkE_MIsmRW7Mh)
53. 设计、可视化与理解深度神经网络(2020春季)John Canny,UC Berkeley 课程网页 – [CS 182/282A](https://bcourses.berkeley.edu/courses/1487769/pages/cs-l-w-182-slash-282a-designing-visualizing-and-understanding-deep-neural-networks-spring-2020) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLkFD6_40KJIwaO6Eca8kzsEFBob0nFvwm)
54. 深度学习(2020春季)Yann LeCun和Alfredo Canziani,NYU 课程网页 – [DS-GA 1008](https://atcold.github.io/pytorch-Deep-Learning/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLLHTzKZzVU9eaEyErdV26ikyolxOsz6mq)
55. 深度学习导论(2020春季)Bhiksha Raj,CMU 课程网页 – [11-785](https://deeplearning.cs.cmu.edu/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLp-0K3kfddPzCnS4CqKphh-zT3aDwybDe)
56. 深度无监督学习(2020春季)Pieter Abbeel,UC Berkeley 课程网页 – [CS294-158](https://sites.google.com/view/berkeley-cs294-158-sp20) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLwRJQ4m4UJjPiJP3691u-qWwPGVKzSlNP)
57. 机器学习(2020春季)Peter Bloem,阿姆斯特丹自由大学 课程网页 – [VUML](https://mlvu.github.io/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLCof9EqayQgthR7IViXkAkUwel_rhxGYM)
58. 深度学习(使用PyTorch)(2020春季)Alfredo Canziani和Yann LeCun,NYU 课程网页 – [DS-GA 1008](https://atcold.github.io/pytorch-Deep-Learning/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLLHTzKZzVU9eaEyErdV26ikyolxOsz6mq)
59. 深度学习与生成模型导论(2020春季)Sebastian Raschka,UW-Madison 课程网页 – [Stat453](http://pages.stat.wisc.edu/~sraschka/teaching/stat453-ss2020/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLTKMiZHVd_2JkR6QtQEnml7swCnFBtq4P)
60. 深度学习(2020夏季)Andreas Maier,FAU Erlangen-Nürnberg 课程网页 – [DL-2020](https://www.video.uni-erlangen.de/course/id/925) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLpOGQvPCDQzvgpD3S0vTy7bJe2pf_yJFj),[讲座视频](https://www.video.uni-erlangen.de/course/id/925)
61. 深度学习导论(2020夏季)Laura Leal-Taixé和Matthias Niessner,TU-München 课程网页 – [I2DL-IN2346](https://dvl.in.tum.de/teaching/i2dl-ss20/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLQ8Y4kIIbzy_OaXv86lfbQwPHSomk2o2e)
62. 深度学习(2020)Sargur Srihari,SUNY-Buffalo 课程网页 – [CSE676](https://cedar.buffalo.edu/~srihari/CSE676/) 讲座视频 – [YouTube讲座-第1部分](https://www.youtube.com/playlist?list=PLmx4utxjUQD70k_NzeiSIXf30m54T_e1h),[YouTube讲座-第2部分](https://www.youtube.com/channel/UCUm7yUmVJyAbYh_0ppJ4H-g/videos)
63. 深度学习系列讲座(2020)众多传奇人物,DeepMind x UCL,伦敦 课程网页 – [DLLS-20](https://deepmind.com/learning-resources/deep-learning-lecture-series-2020) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLqYmG7hTraZCDxZ44o4p3N5Anz3lLRVZF)
64. 多模态机器学习(2020秋季)Louis-Philippe Morency等,卡内基梅隆大学 课程网页 – [11-777 MMML-20](https://cmu-multicomp-lab.github.io/mmml-course/fall2020) 讲座视频 – [YouTube讲座](https://www.youtube.com/channel/UCqlHIJTGYhiwQpNuPU5e2gg/videos)
65. 可靠且可解释的人工智能(2020秋季)Martin Vechev,ETH Zürich 课程网页 – [RIAI-20](https://www.sri.inf.ethz.ch/teaching/riai2020) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLWjm4hHpaNg6c-W7JjNYDEC_kJK9oSp0Y)
66. 深度学习基础(2020秋季)David McAllester,丰田工业大学芝加哥分校 课程网页 – [TTIC-31230](https://mcallester.github.io/ttic-31230/Fall2020) 讲座视频 – [YouTube讲座](https://www.youtube.com/channel/UCciVrtrRR3bQdaGbti9-hVQ/videos)
67. 深度学习基础(2020秋季)Soheil Feize,马里兰大学帕克分校 课程网页 – [CMSC 828W](http://www.cs.umd.edu/class/fall2020/cmsc828W) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLHgjs9ncvHi80UCSlSvQe-TK_uOyDv_Jf)
68. 深度学习(2020/21冬季)Andreas Geiger,图宾根大学 课程网页 – [DL-UT](https://uni-tuebingen.de/fakultaeten/mathematisch-naturwissenschaftliche-fakultaet/fachbereiche/informatik/lehrstuehle/autonomous-vision/teaching/lecture-deep-learning/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL05umP7R6ij3NTWIdtMbfvX7Z-4WEXRqD)
69. 深度学习(2020/21冬季)Andreas Maier,FAU Erlangen-Nürnberg 课程网页 – [DL-FAU](https://www.fau.tv/course/id/1599) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLpOGQvPCDQzvJEPFUQ3mJz72GJ95jyZTh)
70. 深度学习基础(2021春季)Terence Parr和Yannet Interian,旧金山大学 课程网页 – [深度学习基础](https://github.com/parrt/fundamentals-of-deep-learning) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLFCc_Fc116ikeol9CZcWWKqmrJljxhE4N)
71. 全栈深度学习(2021春季)Pieter Abbeel,Sergey Karayev,UC Berkeley 课程网页 – [FS-DL](https://fullstackdeeplearning.com/spring2021) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL1T8fO7ArWlcWg04OgNiJy91PywMKT2lv)
72. 深度学习:设计、可视化与理解DNN(2021春季)Sergey Levine,UC Berkeley 课程网页 – [CS 182](https://cs182sp21.github.io/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL_iWQOsE6TfVmKkQHucjPAoRtIJYt8a5A)
73. 生命科学中的深度学习(2021春季)Manolis Kellis,MIT 课程网页 – [6.874](https://mit6874.github.io/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLypiXJdtIca5sxV7aE3-PS9fYX3vUdIOX)
74. 深度学习与生成模型导论(2021春季)Sebastian Raschka,威斯康星大学麦迪逊分校 课程网页 – [Stat 453](http://pages.stat.wisc.edu/~sraschka/teaching/stat453-ss2021) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLTKMiZHVd_2KJtIXOW0zFhFfBaJJilH51)
75. 深度学习(2021春季)Alfredo Canziani和Yann LeCun,NYU 课程网页 – [NYU-DLSP21](https://atcold.github.io/NYU-DLSP21) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLLHTzKZzVU9e6xUfG10TkTWApKSZCzuBI)
76. 应用深度学习(2020–2021)Alexander Pacha,TU Wien 课程网页 – 无 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLNsFwZQ_pkE8xNYTEyorbaWPN7nvbWyk1)
77. 机器学习(2021春季)Hung-yi Lee,台湾大学 课程网页 – [ML'21](https://speech.ee.ntu.edu.tw/~hylee/ml/2021-spring.php) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLJV_el3uVTsNxV_IGauQZBHjBKZ26JHjd)
78. 深度学习的数学(2019–2021)众多传奇人物,FAU 课程网页 – [MoDL](https://www.fau.tv/course/id/878) 讲座视频 – [讲座视频](https://www.fau.tv/course/id/878)
79. 深度学习(2020–2021)Peter Bloem,Michael Cochez和Jakub Tomczak,VU-Amsterdam 课程网页 – [DL](https://dlvu.github.io/) 讲座视频 – [YouTube讲座](https://www.youtube.com/channel/UCYh1zKnwzrSjrO2Ae-akfTg/playlists)
80. 应用深度学习(2021)Maziar Raissi,UC Boulder 课程网页 – [ADL'21](https://github.com/maziarraissi/Applied-Deep-Learning) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLoEMreTa9CNmuxQeIKWaz7AVFd_ZeAcy4)
81. 群等变深度学习导论(2022)Erik J. Bekkers,阿姆斯特丹大学 课程网页 – [UvAGEDL](https://uvagedl.github.io/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL8FnQMH2k7jzPrxqdYufoiYVHim8PyZWd)
# 2. 机器学习基础
1. 线性代数(2011)Gilbert Strang,MIT 课程网页 – [18.06 SC](http://ocw.mit.edu/18-06SCF11) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL221E2BBF13BECF6C)
2. 概率入门(2011)Jeffrey Miller,布朗大学 课程网页 – mathematical monk 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL17567A1A3F5DB5E4)
3. 信息论、模式识别与神经网络(2012)David Mackay,剑桥大学 课程网页 – [ITPRNN](http://www.inference.org.uk/mackay/itprnn) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLruBu5BI5n4aFpG32iMbdWoRVAA-Vcso6)
4. 线性代数复习(2013)Zico Kolter,CMU 课程网页 – [线性代数](http://www.cs.cmu.edu/~zkolter/course/linalg/index.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLM4Pv4KYYzGzL5ay6dmpyzRnbzQ__8v_t)
5. 概率与统计(2015)Michel van Biezen 课程网页 – 无 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLX2gX-ftPVXUWwTzAkOhBdhplvz0fByqV)
6. 线性代数:深入导论(2015–2017)Pavel Grinfeld 课程网页 – 无 讲座视频 – [第1部分](https://www.youtube.com/playlist?list=PLlXfTHzgMRUKXD88IdzS14F4NxAZudSmv) / [第2部分](https://www.youtube.com/playlist?list=PLlXfTHzgMRULWJYthculb2QWEiZOkwTSU) / [第3部分](https://www.youtube.com/playlist?list=PLlXfTHzgMRUIqYrutsFXCOmiqKUgOgGJ5) / [第4部分](https://www.youtube.com/playlist?list=PLlXfTHzgMRULZfrNCrrJ7xDcTjGr633mm)
7. 多变量微积分(2016)Grant Sanderson,可汗学院 课程网页 – 无 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLSQl0a2vh4HC5feHa6Rc5c0wbRTx56nF7)
8. 线性代数的本质(2016)Grant Sanderson 课程网页 – 无 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab)
9. 微积分的本质(2017–2018)Grant Sanderson 课程网页 – 无 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLZHQObOWTQDMsr9K-rj53DwVRMYO3t5Yr)
10. 机器学习的数学背景(2017秋季)Geoff Gordon,CMU 课程网页 – [10-606](https://canvas.cmu.edu/courses/603/assignments/syllabus),[10-607](https://piazza.com/cmu/fall2017/1060610607/home) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL7y-1rk2cCsAqRtWoZ95z-GMcecVG5mzA)
11. 机器学习数学(线性代数、微积分)(2018)David Dye,Samuel Cooper和Freddie Page,IC-London 课程网页 – [MML](https://www.coursera.org/learn/linear-algebra-machine-learning) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLmAuaUS7wSOP-iTNDivR0ANKuTUhEzMe4)
12. 多变量微积分(2018)S.K. Gupta和Sanjeev Kumar,IIT-Roorkee 课程网页 – [MVC](https://nptel.ac.in/syllabus/111107108/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLq-Gm0yRYwTiQtK374NzhFOcQkWmJ71vx)
13. 工程概率(2018)Rich Radke,伦斯勒理工学院 课程网页 – 无 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLuh62Q4Sv7BU1dN2G6ncyiMbML7OXh_Jx)
14. 数据分析、信号处理与机器学习中的矩阵方法(2018春季)Gilbert Strang,MIT 课程网页 – [18.065](https://ocw.mit.edu/courses/mathematics/18-065-matrix-methods-in-data-analysis-signal-processing-and-machine-learning-spring-2018) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLUl4u3cNGP63oMNUHXqIUcrkS2PivhN3k)
15. 信息论(2018–2020)Himanshu Tyagi,IISC,班加罗尔 课程网页 – [E2 201](https://ece.iisc.ac.in/~htyagi/course-E2201-2020.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLgMDNELGJ1CYS-8dlMGPIaowVfeda4nUj)
16. 数学训练营(2019)Mark Walker,亚利桑那大学 课程网页 – [UAMathCamp / Econ-519](http://www.u.arizona.edu/~mwalker/MathCamp2019.htm) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLcjqUUQt__ZGLhwUacPm7_RKs2eJNFwco)
17. 2020线性代数愿景(2020春季)Gilbert Strang,MIT 课程网页 – [VoLA](https://ocw.mit.edu/resources/res-18-010-a-2020-vision-of-linear-algebra-spring-2020/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLUl4u3cNGP61iQEFiWLE21EJCxwmWvvek)
18. 数值计算与机器学习的数学(2020秋季)Szymon Rusinkiewicz,普林斯顿大学 课程网页 – [COS-302](https://www.cs.princeton.edu/courses/archive/fall20/cos302/outline.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL88aSuXxl_dSjC5pIG8bGkC5wsUPyW_Hh)
19. 神经科学家必备统计学(2020)Philipp Berens,图宾根大学医院 课程网页 – 无 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL05umP7R6ij0Gw5SLIrOA1dMYScCx4oXT)
20. 机器学习数学(2020冬季)Ulrike von Luxburg,图宾根大学 课程网页 – [Math4ML](https://www.tml.cs.uni-tuebingen.de/teaching/2020_maths_for_ml) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL05umP7R6ij1a6KdEy8PVE9zoCv6SlHRS)
21. 因果推断导论(2020秋季)Brady Neal,Mila,蒙特利尔 课程网页 – [因果推断](https://www.bradyneal.com/causal-inference-course) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLoazKTcS0Rzb6bb9L508cyJ1z-U9iWkA0)
22. 应用线性代数(2021)Andrew Thangaraj,IIT Madras 课程网页 – [EE5120](http://www.ee.iitm.ac.in/~andrew/EE5120) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLyqSpQzTE6M-CHZU5RGfamcXOnuFyTOpm)
23. 数据科学的数学工具(2021)Carlos Fernandez-Granda,纽约大学 课程网页 – [DS-GA 1013/Math-GA 2824](https://cds.nyu.edu/math-tools) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLBEf5mJtE6KtU6YlXFZD6lyYcHhW5pIlc)
24. 数值计算与机器学习的数学(2021)Ryan Adams,普林斯顿大学 课程网页 – [COS 302 / SML 305](https://www.cs.princeton.edu/courses/archive/spring21/cos302) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLCO4cUaBLHFEHo42HVIVWaSOvbAiH30uc)
# 3. 机器学习中的优化
1. 凸优化(2008)Stephen Boyd,斯坦福大学 课程网页 – [ee364a](http://web.stanford.edu/class/ee364a/lectures.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL3940DD956CDF0622)
2. 优化导论(2009)Michael Zibulevsky,Technion 课程网页 – [CS-236330](https://sites.google.com/site/michaelzibulevsky/optimization-course) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLDFB2EEF4DDAFE30B)
3. 机器学习优化(2011)S V N Vishwanathan,普渡大学 课程网页 – 无 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL09B0E8AFC69BE108)
4. 优化(2012)Geoff Gordon和Ryan Tibshirani,CMU 课程网页 – [10-725](https://www.cs.cmu.edu/~ggordon/10725-F12/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL7y-1rk2cCsDOv91McLOnV4kExFfTB7dU)
5. 凸优化(2013)Joydeep Dutta,IIT-Kanpur 课程网页 – [cvx-nptel](https://nptel.ac.in/courses/111/104/111104068) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLbMVogVj5nJQHFqfiSdgaLCCWvDcm1W4l)
6. 优化基础(2014)Joydeep Dutta,IIT-Kanpur 课程网页 – [fop-nptel](https://nptel.ac.in/courses/111/104/111104071) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLbMVogVj5nJRRbofh3Qm3P6_NVyevDGD_)
7. 机器学习的算法方面(2015春季)Ankur Moitra,MIT 课程网页 – [18.409-AAML](http://people.csail.mit.edu/moitra/409.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLB3sDpSRdrOvI1hYXNsa6Lety7K8FhPpx)
8. 数值优化(2015)Shirish K. Shevade,IISC 课程网页 – 无 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL6EA0722B99332589)
9. 凸优化(2015春季)Ryan Tibshirani,CMU 课程网页 – [10-725](https://www.stat.cmu.edu/~ryantibs/convexopt-S15/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLjbUi5mgii6BZBhJ9nW7eydgycyCOYeZ6)
10. 凸优化(2015秋季)Ryan Tibshirani,CMU 课程网页 – [10-725](http://stat.cmu.edu/~ryantibs/convexopt-F15/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLjbUi5mgii6AGJW3La3BpEXe27n8v3biT)
11. 高级算法(2016春季)Ankur Moitra,MIT 课程网页 – [6.854-AA](http://people.csail.mit.edu/moitra/854.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL6ogFv-ieghdoGKGg2Bik3Gl1glBTEu8c)
12. 优化导论(2016)Michael Zibulevsky,Technion 课程网页 – 无 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLBD31626529B0AC2A)
13. 凸优化(2016秋季)Javier Peña和Ryan Tibshirani 课程网页 – [10-725/36-725](https://www.stat.cmu.edu/~ryantibs/convexopt-F16) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLjbUi5mgii6AVdvImLB9-Hako68p9MpIC)
14. 凸优化(2018秋季)Ryan Tibshirani,CMU 课程网页 – [10-725](https://www.stat.cmu.edu/~ryantibs/convexopt-F18/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLpIxOj-HnDsMM7BCNGC3hPFU3DfCWfVIw) / [讲座视频](https://www.stat.cmu.edu/~ryantibs/convexopt-F18/)
15. 现代算法优化(2018)Yurii Nesterov,UCLouvain 课程网页 – 无 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLEqoHzpnmTfAoUDqnmMly-KgyJ6ZM_axf)
16. 优化,优化基础(2019–至今)Mark Walker,亚利桑那大学 课程网页 – [MathCamp-20](http://www.u.arizona.edu/~mwalker/MathCamp2020/MathCamp2020LectureNotes.htm) 讲座视频 – [YouTube讲座-基础](https://www.youtube.com/playlist?list=PLcjqUUQt__ZE6wp_c4-FcRdmzBvx8VN7O) / [YouTube讲座-优化](https://www.youtube.com/playlist?list=PLcjqUUQt__ZE0ZSTNRyBIgLJ5obPHdmxC)
17. 优化:原理与算法(2019)Michel Bierlaire,洛桑联邦理工学院(EPFL) 课程网页 – [优化算法](https://transp-or.epfl.ch/books/optimization/html/about_book.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLM4Pv4KYYzGzOpWwsaV6GgllT6njsi1G-)
18. 优化与仿真(2019春季)Michel Bierlaire,洛桑联邦理工学院(EPFL) 课程网页 – [优化仿真](https://transp-or.epfl.ch/courses/OptSim2019/slides.php) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL10NOnsbP5Q5NlJ-Y6Eiup6RTSfkuj1TR)
19. 巴西连续优化研讨会(2019)众多传奇人物,国家纯数学与应用数学研究所,里约热内卢 课程网页 – [连续优化](https://impa.br/eventos-do-impa/eventos-2019/xiii-brazilian-workshop-on-continuous-optimization) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLo4jXE-LdDTQVZhnLPq2W31vJ1fq1VSp6)
20. 同一个世界优化研讨会(2020–)众多传奇人物,维也纳大学 课程网页 – [1W-OPT](https://owos.univie.ac.at/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLBQo-yZOMzLWEcAptzTYOnwXo9hhXrAa2)
21. 凸优化II(2020春季)Constantine Caramanis,UT Austin 课程网页 – [凸优化II](http://users.ece.utexas.edu/~cmcaram/constantine_caramanis/Announcements.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLXsmhnDvpjORzPelSDs0LSDrfJcqyLlZc)
22. 组合优化(2020秋季)Constantine Caramanis,UT Austin 课程网页 – [组合优化](https://caramanis.github.io/teaching/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLXsmhnDvpjORcTRFMVF3aUgyYlHsxfhNL)
23. 机器学习与工程优化方法(2020–21冬季)Julius Pfrommer,Jürgen Beyerer,卡尔斯鲁厄理工学院(KIT) 课程网页 – [优化-MLE](https://ies.iar.kit.edu/lehre_1487.php),[幻灯片](https://drive.google.com/drive/folders/1WWVWV4vDBIOkjZc6uFY3nfXvpaOUHcfb) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLdkTDauaUnQpzuOCZyUUZc0lxf4-PXNR5)
# 4. 通用机器学习
1. CS229:机器学习(2007)Andrew Ng,斯坦福大学 课程网页 – [CS229-旧](https://see.stanford.edu/Course/CS229/) / [CS229-新](http://cs229.stanford.edu/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLA89DCFA6ADACE599)
2. 机器学习(2011)Jeffrey Miller,布朗大学 课程网页 – mathematical monk 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLD0F06AA0D2E8FFBA)
3. 机器学习(2011)Tom Mitchell,CMU 课程网页 – [10-701](http://www.cs.cmu.edu/~tom/10701_sp11/) 讲座视频 – [讲座视频](http://www.cs.cmu.edu/~tom/10701_sp11/lectures.shtml)
4. 机器学习与数据挖掘(2012)Nando de Freitas,不列颠哥伦比亚大学 课程网页 – [CPSC-340](https://www.cs.ubc.ca/~nando/340-2012/index.php) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLE6Wd9FR--Ecf_5nCbnSQMHqORpiChfJf)
5. 从数据中学习(2012)Yaser Abu-Mostafa,CalTech 课程网页 – [CS156](http://work.caltech.edu/telecourse.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLD63A284B7615313A)
6. 机器学习(2013)Rudolph Triebel,慕尼黑工业大学 课程网页 – [机器学习](https://vision.in.tum.de/teaching/ws2013/ml_ws13) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLTBdjV_4f-EIiongKlS9OKrBEp8QR47Wl)
7. 机器学习导论(2013)Alex Smola,CMU 课程网页 – [10-701](http://alex.smola.org/teaching/cmu2013-10-701/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLZSO_6-bSqHQmMKwWVvYwKreGu4b4kMU9)
8. 机器学习导论(2013)Alex Smola和Geoffrey Gordon,CMU 课程网页 – [10-701x](http://alex.smola.org/teaching/cmu2013-10-701x/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLZSO_6-bSqHR7NPk4k0zqdm2dPdraQZ_B)
9. 模式识别(2014)Sukhendu Das,IIT-M和C.A. Murthy,ISI-Calcutta 课程网页 – [PR-NPTEL](https://nptel.ac.in/syllabus/106106046/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLbMVogVj5nJQJMLb2CYw9rry0d5s0TQRp)
10. 统计学习导论及其R应用(2014)Trevor Hastie和Robert Tibshirani,斯坦福 课程网页 – [统计学习](https://lagunita.stanford.edu/courses/HumanitiesandScience/StatLearning/Winter2015/about) / [R-bloggers](https://www.r-bloggers.com/in-depth-introduction-to-machine-learning-in-15-hours-of-expert-videos/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLOg0ngHtcqbPTlZzRHA2ocQZqB1D_qZ5V)
11. 机器学习导论(2015)Katie Malone,Sebastian Thrun,Udacity 课程网页 – [ML-Udacity](https://www.udacity.com/course/ud120) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLAwxTw4SYaPkQXg8TkVdIvYv4HfLG7SiH)
12. 机器学习导论(2015)Dhruv Batra,弗吉尼亚理工 课程网页 – [ECE-5984](https://filebox.ece.vt.edu/~s15ece5984/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL-fZD610i7yDUiNTFy-tEOxkTwg4mHZHu)
13. 统计学习 - 分类(2015)Ali Ghodsi,滑铁卢大学 课程网页 – [STAT-441](https://uwaterloo.ca/data-analytics/statistical-learning-classification) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLehuLRPyt1Hy-4ObWBK4Ab0xk97s6imfC)
14. 机器学习理论(2015)Shai Ben-David,滑铁卢大学 课程网页 – 无 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLPW2keNyw-usgvmR7FTQ3ZRjfLs5jT4BO)
15. 机器学习导论(2015春季)Alex Smola,CMU 课程网页 – [10-701](http://alex.smola.org/teaching/10-701-15/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLZSO_6-bSqHTTV7w9u7grTXBHMH-mw3qn)
16. 统计机器学习(2015春季)Larry Wasserman,CMU 课程网页 – 无 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLjbUi5mgii6BWEUZf7He6nowWvGne_Y8r)
17. 机器学习:监督学习(2015)Michael Littman,Charles Isbell,Pushkar Kolhe,GaTech 课程网页 – [ML-Udacity](https://eu.udacity.com/course/machine-learning--ud262) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLAwxTw4SYaPl0N6-e1GvyLp5-MUMUjOKo)
18. 机器学习:无监督学习(2015)Michael Littman,Charles Isbell,Pushkar Kolhe,GaTech 课程网页 – [ML-Udacity](https://eu.udacity.com/course/machine-learning-unsupervised-learning--ud741) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLAwxTw4SYaPmaHhu-Lz3mhLSj-YH-JnG7)
19. 高级机器学习导论(2015秋季)Barnabas Poczos和Alex Smola 课程网页 – [10-715](https://www.cs.cmu.edu/~bapoczos/Classes/ML10715_2015Fall/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL4YhK0pT0ZhWBzSBkMGzpnPw6sf6Ma0IX)
20. 机器学习(2016春季)Pedro Domingos,华盛顿大学 课程网页 – [CSEP-546](https://courses.cs.washington.edu/courses/csep546/16sp/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLTPQEx-31JXgtDaC6-3HxWcp7fq4N8YGr)
21. 统计机器学习(2016春季)Larry Wasserman,CMU 课程网页 – 无 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLTB9VQq8WiaCBK2XrtYn5t9uuPdsNm7YE)
22. 大规模数据集机器学习(2016秋季)William Cohen,CMU 课程网页 – [10-605](http://curtis.ml.cmu.edu/w/courses/index.php/Machine_Learning_with_Large_Datasets_10-605_in_Fall_2016) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLnfBqXRW5MRhPtfkadfwQ0VcuSi2IwEcW)
23. 机器学习的数学背景(2016秋季)Geoffrey Gordon,CMU 课程网页 – 10-600 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL7y-1rk2cCsA339crwXMWUaBRuLBvPBCg)
24. 统计学习 - 分类(2017)Ali Ghodsi,滑铁卢大学 课程网页 – 无 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLehuLRPyt1HzXDemu7K4ETcF0Ld_B5adG)
25. 机器学习(2017)Andrew Ng,斯坦福大学 课程网页 – [Coursera-ML](https://www.coursera.org/learn/machine-learning) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLLssT5z_DsK-h9vYZkQkYNWcItqhlRJLN)
26. 机器学习(2017)Roni Rosenfield,CMU 课程网页 – [10-601](http://www.cs.cmu.edu/~roni/10601-f17/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL7k0r4t5c10-g7CWCnHfZOAxLaiNinChk)
27. 统计机器学习(2017春季)Ryan Tibshirani,Larry Wasserman,CMU 课程网页 – [10-702](http://www.stat.cmu.edu/~ryantibs/statml/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLjbUi5mgii6B7A0nM74zHTOVQtTC9DaCv)
28. 计算机视觉机器学习(2017秋季)Fred Hamprecht,海德堡大学 课程网页 – 无 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLuRaSnb3n4kSQFyt8VBldsQ9pO9Xtu8rY)
29. 机器学习的数学背景(2017秋季)Geoffrey Gordon,CMU 课程网页 – [10-606 / 10-607](https://canvas.cmu.edu/courses/603/assignments/syllabus) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL7y-1rk2cCsAqRtWoZ95z-GMcecVG5mzA)
30. 数据可视化(2017)Ali Ghodsi,滑铁卢大学 课程网页 – 无 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLehuLRPyt1HzQoXEhtNuYTmd0aNQvtyAK)
31. 面向物理学家的机器学习(2017)Florian Marquardt,Uni Erlangen-Nürnberg 课程网页 – [ML4Phy-17](http://www.thp2.nat.uni-erlangen.de/index.php/2017_Machine_Learning_for_Physicists,_by_Florian_Marquardt) 讲座视频 – [讲座视频](https://www.video.uni-erlangen.de/course/id/574)
32. 智能系统机器学习(2018秋季)Kilian Weinberger,康奈尔大学 课程网页 – [CS4780](http://www.cs.cornell.edu/courses/cs4780/2018fa/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLl8OlHZGYOQ7bkVbuRthEsaLr7bONzbXS)
33. 统计学习理论与应用(2018秋季)Tomaso Poggio,Lorenzo Rosasco,Sasha Rakhlin 课程网页 – [9.520/6.860](https://cbmm.mit.edu/lh-9-520) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLyGKBDfnk-iAtLO6oLW4swMiQGz4f2OPY)
34. 机器学习与数据挖掘(2018)Mike Gelbart,不列颠哥伦比亚大学 课程网页 – [CPSC-340](https://ubc-cs.github.io/cpsc340/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLWmXHcz_53Q02ZLeAxigki1JZFfCO6M-b)
35. 机器学习基础(2018)David Rosenberg,Bloomberg 课程网页 – [FOML](https://bloomberg.github.io/foml/#home) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLnZuxOufsXnvftwTB1HL6mel1V32w0ThI)
36. 机器学习导论(2018)Andreas Krause,ETH Zürich 课程网页 – [IntroML](https://las.inf.ethz.ch/teaching/introml-s18) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLzn6LN6WhlN273tsqyfdrBUsA-o5nUESV)
37. 机器学习基础(2018)Sanjoy Dasgupta,UC-San Diego 课程网页 – [MLF-幻灯片](https://drive.google.com/drive/folders/1l1rwv-jMihLZIpW0zTgGN9-snWOsA3M9) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL_onPhFCkVQhUzcTVgQiC8W2ShZKWlm0s)
38. 机器学习(2015–2018)Jordan Boyd-Graber,马里兰大学 课程网页 – [CMSC-726](http://users.umiacs.umd.edu/~jbg/teaching/CMSC_726/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLegWUnz91WfsELyRcZ7d1GwAVifDaZmgo)
39. 机器学习(2018)Andrew Ng,斯坦福大学 课程网页 – [CS229](http://cs229.stanford.edu/syllabus-autumn2018.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLoROMvodv4rMiGQp3WXShtMGgzqpfVfbU)
40. 机器智能(2019)H.R.Tizhoosh,UWaterloo 课程网页 – [SYDE-522](https://kimialab.uwaterloo.ca/kimia/index.php/teaching/syde-522-machine-intelligence-2) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL4upCU5bnihwCX93Gv6AQnKmVMwx4AZoT)
41. 机器学习导论(2019春季)Pascal Poupart,滑铁卢大学 课程网页 – [CS480/680](https://cs.uwaterloo.ca/~ppoupart/teaching/cs480-spring19) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLdAoL1zKcqTW-uzoSVBNEecKHsnug_M0k)
42. 高级机器学习(2019春季)Thorsten Joachims,康奈尔大学 课程网页 – [CS-6780](https://www.cs.cornell.edu/courses/cs6780/2019sp) 讲座视频 – [讲座视频](https://cornell.mediasite.com/Mediasite/Catalog/Full/f5d1cd3323f746cca80b2468bf97efd421)
43. 结构化数据机器学习(2019秋季)Matt Gormley,卡内基梅隆大学 课程网页 – [10-418/10-618](http://www.cs.cmu.edu/~mgormley/courses/10418/schedule.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL4CxkUJbvNVihRKP4bXufvRLIWzeS-ieP)
44. 高级机器学习(2019秋季)Joachim Buhmann,ETH Zürich 课程网页 – [ML2-AML](https://ml2.inf.ethz.ch/courses/aml/) 讲座视频 – [讲座视频](https://video.ethz.ch/lectures/d-infk/2019/autumn/252-0535-00L.html)
45. 信号处理机器学习(2019秋季)Vipul Arora,IIT-Kanpur 课程网页 – [MLSP](http://home.iitk.ac.in/~vipular/stuff/2019_MLSP.html) 讲座视频 – [讲座视频](https://iitk-my.sharepoint.com/:f:/g/personal/vipular_iitk_ac_in/Enf97NZfsoVBiyclC6yHfe4BlUv6CA4U8LPQQ4vtsDo_Xg)
46. 机器学习基础(2019)Animashree Anandkumar,CalTech 课程网页 – [CMS-165](http://tensorlab.cms.caltech.edu/users/anima/cms165-2019.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLVNifWxslHCA5GUh0o92neMiWiQiGVFqp)
47. 面向物理学家的机器学习(2019)Florian Marquardt,Uni Erlangen-Nürnberg 课程网页 – 无 讲座视频 – [讲座视频](https://www.video.uni-erlangen.de/course/id/778)
48. 应用机器学习(2019)Andreas Müller,哥伦比亚大学 课程网页 – [COMS-W4995](https://www.cs.columbia.edu/~amueller/comsw4995s19/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL_pVmAaAnxIQGzQS2oI3OWEPT-dpmwTfA)
49. 网络机器学习基础(2019)Hossein Shokri-Ghadikolaei,KTH,瑞典 课程网页 – [MLoNs](https://sites.google.com/view/mlons/course-materials) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLWoZTd81WFCEBFrxDfNUrDnt3ABdLfg80)
50. 机器学习与统计推断基础(2020)Animashree Anandkumar,CalTech 课程网页 – [CMS-165](http://tensorlab.cms.caltech.edu/users/anima/cms165-2020.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLVNifWxslHCDlbyitaLLYBOAEPbmF1AHg)
51. 机器学习(2020春季)Rebecca Willett和Yuxin Chen,芝加哥大学 课程网页 – [STAT 37710 / CMSC 35400](https://voices.uchicago.edu/willett/teaching/stats37710-cmsc35400-s20) 讲座视频 – [讲座视频](https://voices.uchicago.edu/willett/teaching/stats37710-cmsc35400-s20)(与网页相同)
52. 机器学习导论(2020春季)Sanjay Lall和Stephen Boyd,斯坦福大学 课程网页 – [EE104/CME107](http://ee104.stanford.edu/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLoROMvodv4rN_Uy7_wmS051_q1d6akXmK)
53. 应用机器学习(2020春季)Andreas Müller,哥伦比亚大学 课程网页 – [COMS-W4995](https://www.cs.columbia.edu/~amueller/comsw4995s20/schedule/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL_pVmAaAnxIRnSw6wiCpSvshFyCREZmlM)
54. 统计机器学习(2020夏季)Ulrike von Luxburg,图宾根大学 课程网页 – [统计机器学习](https://www.tml.cs.uni-tuebingen.de/teaching/2020_statistical_learning/index.php) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL05umP7R6ij2XCvrRzLokX6EoHWaGA2cC)
55. 概率机器学习(2020夏季)Philipp Hennig,图宾根大学 课程网页 – [概率机器学习](https://uni-tuebingen.de/en/180804) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL05umP7R6ij1tHaOFY96m5uX3J21a6yNd)
56. 机器学习(2020秋季)Sarath Chandar,PolyMTL,UdeM,Mila 课程网页 – [INF8953CE](http://sarathchandar.in/teaching/ml/fall2020) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLImtCgowF_ET0mi-AmmqQ0SIJUpWYaIOr)
57. 机器学习(2020秋季)Erik Bekkers,阿姆斯特丹大学 课程网页 – [UvA-ML](https://uvaml1.github.io/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL8FnQMH2k7jzhtVYbKmvrMyXDYMmgjj_n)
58. 信号处理神经网络(2020秋季)Shayan Srinivasa Garani,印度科学研究所 课程网页 – [NN4SP](https://labs.dese.iisc.ac.in/pnsil/neural-networks-and-learning-systems-i-fall-2020/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLgMDNELGJ1CZn1399dV7_U4VBNJflRsua)
59. 机器学习导论(2020)Dmitry Kobak,图宾根大学医院 课程网页 – 无 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL05umP7R6ij35ShKLDqccJSDntugY4FQT)
60. 机器学习(PRML)(2020)Erik J. Bekkers,阿姆斯特丹大学 课程网页 – [UvAML-1](https://uvaml1.github.io/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL8FnQMH2k7jzhtVYbKmvrMyXDYMmgjj_n)
61. 核方法机器学习(2021春季)Julien Mairal和Jean-Philippe Vert,Inria/ENS Paris-Saclay,Google 课程网页 – [ML-核方法](http://members.cbio.mines-paristech.fr/~jvert/svn/kernelcourse/course/2021mva/index.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLD93kGj6_EdrkNj27AZMecbRlQ1SMkp_o)
62. 持续学习(2021)Vincenzo Lomonaco,比萨大学 课程网页 – [持续学习'21](https://course.continualai.org/background/details) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLm6QXeaB-XkBfM5RgQP6wCR7Jegdg51Px)
63. 因果性(2021)Christina Heinze-Deml,ETH Zurich 课程网页 – [因果性'21](https://stat.ethz.ch/lectures/ss21/causality.php#course_materials) 讲座视频 – [YouTube讲座](https://stat.ethz.ch/lectures/ss21/causality.php#course_materials)
# 5. 强化学习
1. 强化学习短期课程(2011)Satinder Singh,UMichigan 课程网页 – 无 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLM4Pv4KYYzGy4cIFQ5C36-1jMNLab80Ky)
2. 近似动态规划(2014)Dimitri P. Bertsekas,MIT 课程网页 – [讲座幻灯片](http://adpthu2014.weebly.com/slides--materials.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLiCLbsFQNFAxOmVeqPhI5er1LGf2-L9I4)
3. 强化学习导论(2015)David Silver,DeepMind 课程网页 – [UCL-RL](http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLqYmG7hTraZDM-OYHWgPebj2MfCFzFObQ)
4. 强化学习(2015)Charles Isbell,Chris Pryby,GaTech;Michael Littman,Brown 课程网页 – [RL-Udacity](https://eu.udacity.com/course/reinforcement-learning--ud600) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLAwxTw4SYaPnidDwo9e2c7ixIsu_pdSNp)
5. 强化学习(2016)Balaraman Ravindran,IIT Madras 课程网页 – [RL-IITM](https://www.cse.iitm.ac.in/~ravi/courses/Reinforcement Learning.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLNdWVHi37UggQIVcaZcmtGGEQHY9W7d9D)
6. 深度强化学习(2017春季)Sergey Levine,UC Berkeley 课程网页 – [CS-294](http://rail.eecs.berkeley.edu/deeprlcoursesp17/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLkFD6_40KJIwTmSbCv9OVJB3YaO4sFwkX)
7. 深度强化学习(2017秋季)Sergey Levine,UC Berkeley 课程网页 – [CS-294](http://rail.eecs.berkeley.edu/deeprlcourse-fa17/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLkFD6_40KJIznC9CDbVTjAF2oyt8_VAe3)
8. 深度RL训练营(2017)众多传奇人物,UC Berkeley 课程网页 – [深度RL](https://sites.google.com/view/deep-rl-bootcamp/lectures) 讲座视频 – [YouTube讲座](https://www.youtube.com/channel/UCTgM-VlXKuylPrZ_YGAJHOw/videos)
9. 数据高效强化学习(2017)众多传奇人物,加那利群岛 课程网页 – [DERL-17](http://dalimeeting.org/dali2017/data-efficient-reinforcement-learning.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL-tWvTpyd1VAvDpxukup6w-SuZQQ7e8K8)
10. 深度强化学习(2018)Sergey Levine,UC Berkeley 课程网页 – [CS-294-112](http://rail.eecs.berkeley.edu/deeprlcourse-fa18/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLkFD6_40KJIxJMR-j5A1mkxK26gh_qg37)
11. 强化学习(2018)Pascal Poupart,滑铁卢大学 课程网页 – [CS-885](https://cs.uwaterloo.ca/~ppoupart/teaching/cs885-spring18/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLdAoL1zKcqTXFJniO3Tqqn6xMBBL07EDc)
12. 深度强化学习与控制(2018)Katerina Fragkiadaki和Tom Mitchell,CMU 课程网页 – [10-703](http://www.andrew.cmu.edu/course/10-703/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLpIxOj-HnDsNfvOwRKLsUobmnF2J1l5oV)
13. 强化学习与最优控制(2019)Dimitri Bertsekas,亚利桑那州立大学 课程网页 – [RLOC](http://web.mit.edu/dimitrib/www/RLbook.html) 讲座视频 – [讲座视频](http://web.mit.edu/dimitrib/www/RLbook.html)(与网页相同)
14. 强化学习(2019)Emma Brunskill,斯坦福大学 课程网页 – [CS 234](http://web.stanford.edu/class/cs234/index.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLoROMvodv4rOSOPzutgyCTapiGlY2Nd8u)
15. 强化学习日(2019)众多传奇人物,微软研究院,纽约 课程网页 – [RLD-19](https://www.microsoft.com/en-us/research/event/reinforcement-learning-day-2019/#!agenda) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLD7HFcN7LXRe9nWEX3Up-RiCDi6-0mqVC)
16. 强化学习与控制的新方向(2019)众多传奇人物,IAS,普林斯顿大学 课程网页 – [NDRLC-19](https://www.math.ias.edu/ndrlc) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLdDZb3TwJPZ61sGqd6cbWCmTc275NrKu3)
17. 深度强化学习(2019秋季)Sergey Levine,UC Berkeley 课程网页 – [CS 285](http://rail.eecs.berkeley.edu/deeprlcourse-fa19) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLkFD6_40KJIwhWJpGazJ9VSj9CFMkb79A)
18. 深度多任务与元学习(2019秋季)Chelsea Finn,斯坦福大学 课程网页 – [CS 330](https://cs330.stanford.edu/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLoROMvodv4rMC6zfYmnD7UG3LVvwaITY5)
19. RL理论研讨会(2020–)众多传奇人物,地球 课程网页 – [RL理论研讨会](https://sites.google.com/view/rltheoryseminars/past-seminars) 讲座视频 – [YouTube讲座](https://www.youtube.com/channel/UCfBFutC9RbKK6p--B4R9ebA/videos)
20. 深度强化学习(2020秋季)Sergey Levine,UC Berkeley 课程网页 – [CS 285](http://rail.eecs.berkeley.edu/deeprlcourse-fa20) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL_iWQOsE6TfURIIhCrlt-wj9ByIVpbfGc)
21. 强化学习导论(2021春季)Amir-massoud Farahmand,Vector Institute,多伦多大学 课程网页 – [RL导论](https://amfarahmand.github.io/IntroRL) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLCveiXxL2xNbiDq51a8iJwPRq2aO0ykrq)
22. 强化学习(2021)Antonio Celani和Emanuele Panizon,国际理论物理中心 课程网页 – 无 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLp0hSY2uBeP8q2G3mfHGVGvQFEMX0QRWM)
23. 计算感觉运动学习(2021春季)Pulkit Agrawal,MIT-CSAIL 课程网页 – [6.884-CSL](https://pulkitag.github.io/6.884/lectures) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLwNwxAG-kBxPMTIs2fKWSsf7HqL2TcC78)
24. 强化学习(2021春季)Dimitri P. Bertsekas,ASU/MIT 课程网页 – [RL-21](http://web.mit.edu/dimitrib/www/RLbook.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLmH30BG15SIp79JRJ-MVF12uvB1qPtPzn)
25. 强化学习(2021秋季)Sarath Chandar,蒙特利尔理工学院 课程网页 – [INF8953DE](https://chandar-lab.github.io/INF8953DE) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLImtCgowF_ES_JdF_UcM60EXTcGZg67Ua)
26. 深度强化学习(2021秋季)Sergey Levine,UC Berkeley 课程网页 – [CS 285](http://rail.eecs.berkeley.edu/deeprlcourse) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL_iWQOsE6TfXxKgI1GgyV1B_Xa0DxE5eH)
27. 强化学习系列讲座(2021)众多传奇人物,DeepMind & UC London 课程网页 – [RL系列](https://deepmind.com/learning-resources/reinforcement-learning-series-2021) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLqYmG7hTraZDVH599EItlEWsUOsJbAodm)
28. 强化学习(2022春季)Dimitri P. Bertsekas,ASU/MIT 课程网页 – [RL-22](http://web.mit.edu/dimitrib/www/RLbook.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLmH30BG15SIoXhxLldoio0BhsIY84YMDj)
# 6. 概率图模型
1. 概率图模型(2013)众多传奇人物,MPI-IS 课程网页 – [MLSS-Tuebingen](http://mlss.tuebingen.mpg.de/2013/2013/speakers.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLL0GjJzXhAWTRiW_ynFswMaiLSa0hjCZ3)
2. 概率建模与机器学习(2013)Zoubin Ghahramani,剑桥大学 课程网页 – [WUST-Wroclaw](https://www.ii.pwr.edu.pl/~gonczarek/zoubin.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLwUOK5j_XOsdfVAGKErx9HqnrVZIuRbZ2)
3. 概率图模型(2014)Eric Xing,CMU 课程网页 – [10-708](http://www.cs.cmu.edu/~epxing/Class/10708/lecture.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLI3nIOD-p5aoXrOzTd1P6CcLavu9rNtC-)
4. 结构化数据学习:概率图模型导论(2016)Christoph Lampert,IST Austria 课程网页 – 无 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLEqoHzpnmTfA0wc1JxjoVVOrJlx8W0rGf)
5. 概率图模型(2018)Nicholas Zabaras,圣母大学 课程网页 – [PGM](https://www.zabaras.com/probabilistic-graphical-models) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLd-PuDzW85AcV4bgdu7wHPL37hm60W4RM)
6. 概率图模型(2019春季)Eric Xing,CMU 课程网页 – [10-708](https://sailinglab.github.io/pgm-spring-2019/) 讲座视频 – [讲座视频](https://sailinglab.github.io/pgm-spring-2019/lectures) / [YouTube讲座](https://www.youtube.com/playlist?list=PLoZgVqqHOumTY2CAQHL45tQp6kmDnDcqn)
7. 概率图模型(2020春季)Eric Xing,CMU 课程网页 – [10-708](https://www.cs.cmu.edu/~epxing/Class/10708-20/index.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLoZgVqqHOumTqxIhcdcpOAJOOimrRCGZn)
8. 人工智能中的不确定性建模(2020–21)Gim Hee Lee,新加坡国立大学(NUS) 课程网页 – [CS 5340 - CH](https://www.coursehero.com/sitemap/schools/2652-National-University-of-Singapore/courses/7821096-CS5340/) / [CS 5340-NB](https://github.com/clear-nus/CS5340-notebooks) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLxg0CGqViygOb9Eyc8IXM27doxjp2SK0H)
# 7. 贝叶斯深度学习
1. 贝叶斯神经网络,变分推断(2014–至今)众多传奇人物 课程网页 – 无 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLM4Pv4KYYzGwUB4bFy183hwGhpL9ytvA1)
2. 变分推断(2015)Chieh Wu,东北大学 课程网页 – 无 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLdk2fd27CQzSd1sQ3kBYL4vtv6GjXvPsE)
3. 深度学习与贝叶斯方法(2018)众多传奇人物,HSE Moscow 课程网页 – [DLBM-SS](http://deepbayes.ru/2018) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLe5rNUydzV9Q01vWCP9BV7NhJG3j7mz62)
4. 深度学习与贝叶斯方法(2019)众多传奇人物,HSE Moscow 课程网页 – [DLBM-SS](http://deepbayes.ru/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLe5rNUydzV9QHe8VDStpU0o8Yp63OecdW)
5. 北欧概率AI(2019)众多传奇人物,NTNU,特隆赫姆 课程网页 – [ProbAI](https://github.com/probabilisticai/probai-2019) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLRy-VW__9hV8s--JkHXZvnd26KgjRP2ik)
# 8. 医学影像
1. 医学影像暑期学校(2014)众多传奇人物,西西里 课程网页 – [MISS-14](http://iplab.dmi.unict.it/miss14/programme.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL_VeUGLULXQtvcCdAgmvKoJ1k0Ajhz-Qu)
2. 生物医学图像分析暑期学校(2015)众多传奇人物,巴黎 课程网页 – 无 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLgSHH6boFf5uJAUT4ZRiAZc_ofXolkAGK)
3. 医学影像暑期学校(2016)众多传奇人物,西西里 课程网页 – [MISS-16](http://iplab.dmi.unict.it/miss16/programme.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLTRCr47yTx5iXIYSneX3LKf16upaw59wa)
4. 光学与超声成像 - OPUS(2016)众多传奇人物,里昂大学,法国 课程网页 – [OPUS'16](https://opus2016lyon.sciencesconf.org/resource/page/id/2) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL95ayoVLX8GdUKbxu-R9WqRWwzdWcKjti)
5. 医学影像暑期学校(2018)众多传奇人物,西西里 课程网页 – [MISS-18](http://iplab.dmi.unict.it/miss/programme.htm) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL_VeUGLULXQux1dV4iA3XuMX6AueJmGGa)
6. 医疗AI研讨会(2018)众多传奇人物,斯坦福 课程网页 – [CS 522](http://cs522.stanford.edu/2018/index.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLYn-ZmPR1DtNQJ-ot-L2V2EgUEH6OH_7w)
7. 医疗机器学习(2019春季)David Sontag,Peter Szolovits,CSAIL MIT 课程网页 – [MLHC-19](https://mlhc19mit.github.io/) / [MIT 6.S897](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-s897-machine-learning-for-healthcare-spring-2019/lecture-notes/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLUl4u3cNGP60B0PQXVQyGNdCyCTDU1Q5j)
8. 深度学习与医学应用(2020)众多传奇人物,IPAM,UCLA 课程网页 – [DLM-20](https://www.ipam.ucla.edu/programs/workshops/deep-learning-and-medical-applications/?tab=schedule) 讲座视频 – [讲座视频](https://www.ipam.ucla.edu/programs/workshops/deep-learning-and-medical-applications/?tab=schedule)(与网页相同)
9. 斯坦福医学与影像人工智能研讨会(2020)众多传奇人物,斯坦福AIMI 课程网页 – [AIMI-20](https://aimi.stanford.edu/news-events/aimi-symposium/agenda) 讲座视频 – [YouTube讲座](https://www.youtube.com/watch?v=tR2ObiL4il8&list=PLe6zdIMe5B7IR0oDOobXBDBlYY1eqLYPx)
# 9. 图神经网络(几何深度学习)
1. 图与流形上的深度学习(2017)Michael Bronstein,Technion 课程网页 – 无 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLH39kM3nuavcVOUIIBraBNHjv-CwEd1uV)
2. 图与流形上的几何深度学习(2017)Michael Bronstein,慕尼黑工业大学 课程网页 – 无 讲座视频 – [讲座第1部分](https://streams.tum.de/Mediasite/Play/1f3b894e78f6400daa7885c886b936fb1d) / [讲座第2部分](https://streams.tum.de/Mediasite/Play/6039c846b2f84e7a806024c06e3f5c5c1d)
3. Eurographics几何处理研讨会 - 研究生院(2017)众多传奇人物,SIGGRAPH,伦敦 课程网页 – [SGP-2017](http://geometry.cs.ucl.ac.uk/SGP2017/?p=gradschool) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLOp-ngXvomHArqntgLVNzuJNdzNx3rDjZ)
4. Eurographics几何处理研讨会 - 研究生院(2018)众多传奇人物,SIGGRAPH,巴黎 课程网页 – [SGP-2018](https://sgp2018.sciencesconf.org/resource/page/id/7) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLvcoRb-DvAmgpp8LYw7dUvLxh-1Vrrm-v)
5. 网络分析:图挖掘与学习(2018)Jure Leskovec,斯坦福大学 课程网页 – [CS224W](http://snap.stanford.edu/class/cs224w-2018/) 讲座视频 – [讲座视频](http://snap.stanford.edu/class/cs224w-2018/)(与网页相同)
6. 图机器学习(2019)Jure Leskovec,斯坦福大学 课程网页 – [CS224W](http://snap.stanford.edu/class/cs224w-2019/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL-Y8zK4dwCrQyASidb2mjj_itW2-YYx6-)
7. 3D及更高维度的几何与数据学习 – 几何与数据学习教程(2019)众多传奇人物,IPAM UCLA 课程网页 – [GLDT](http://www.ipam.ucla.edu/programs/workshops/geometry-and-learning-from-data-tutorials) 讲座视频 – [讲座视频](http://www.ipam.ucla.edu/programs/workshops/geometry-and-learning-from-data-tutorials/?tab=schedule)
8. 3D及更高维度的几何与数据学习 – 几何处理(2019)众多传奇人物,IPAM UCLA 课程网页 – [几何处理](http://www.ipam.ucla.edu/programs/workshops/workshop-i-geometric-processing/) 讲座视频 – [讲座视频](http://www.ipam.ucla.edu/programs/workshops/workshop-i-geometric-processing/?tab=schedule)
9. 3D及更高维度的几何与数据学习 – 形状分析(2019)众多传奇人物,IPAM UCLA 课程网页 – [形状分析](http://www.ipam.ucla.edu/programs/workshops/workshop-ii-shape-analysis/) 讲座视频 – [讲座视频](http://www.ipam.ucla.edu/programs/workshops/workshop-ii-shape-analysis/?tab=schedule)
10. 3D及更高维度的几何与数据学习 – 大数据的几何(2019)众多传奇人物,IPAM UCLA 课程网页 – [大数据几何](http://www.ipam.ucla.edu/programs/workshops/workshop-iii-geometry-of-big-data) 讲座视频 – [讲座视频](http://www.ipam.ucla.edu/programs/workshops/workshop-iii-geometry-of-big-data/?tab=schedule)
11. 3D及更高维度的几何与数据学习 – 大数据的深度几何学习与应用(2019)众多传奇人物,IPAM UCLA 课程网页 – [DGL-BData](http://www.ipam.ucla.edu/programs/workshops/workshop-iv-deep-geometric-learning-of-big-data-and-applications) 讲座视频 – [讲座视频](http://www.ipam.ucla.edu/programs/workshops/workshop-iv-deep-geometric-learning-of-big-data-and-applications/?tab=schedule)
12. 以色列几何深度学习(2020)众多传奇人物,以色列 课程网页 – [iGDL-20](https://gdl-israel.github.io/schedule.html) 讲座视频 – [讲座视频](https://www.youtube.com/watch?v=c8_32IVn-sg)
13. 图与序列数据机器学习(2020春季)Stephan Günnemann,慕尼黑工业大学(TUM) 课程网页 – [MLGS-20](https://www.in.tum.de/en/daml/teaching/summer-term-2020/machine-learning-for-graphs-and-sequential-data/) 讲座视频 – [讲座视频](https://www.in.tum.de/daml/teaching/mlgs/)
14. 图机器学习(2021冬季)Jure Leskovec,斯坦福 课程网页 – [CS224W](http://web.stanford.edu/class/cs224w) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLoROMvodv4rPLKxIpqhjhPgdQy7imNkDn)
15. 几何深度学习 - AMMI(2021)众多传奇人物,线上 课程网页 – [GDL-AMMI](https://geometricdeeplearning.com/lectures) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLn2-dEmQeTfQ8YVuHBOvAhUlnIPYxkeu3)
16. 几何深度学习暑期学校(2021)众多传奇人物,DTU,DIKU & AAU 课程网页 – [GDL- DTU, DIKU & AAU](https://geometric-deep-learning.compute.dtu.dk/) 讲座视频 – [讲座视频](https://geometric-deep-learning.compute.dtu.dk/talks-and-materials)
17. 图神经网络(2021秋季)Alejandro Ribeiro,宾夕法尼亚大学 课程网页 – [ESE 514](https://gnn.seas.upenn.edu/) 讲座视频 – [YouTube讲座](https://www.youtube.com/channel/UC_YPrqpiEqkeGOG1TCt0giQ/playlists)
# 10. 自然语言处理
1. 计算语言学I(2013–2018)Jordan Boyd-Graber,马里兰大学 课程网页 – [CMS-723](http://users.umiacs.umd.edu/~jbg/teaching/CMSC_723/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLegWUnz91WfuPebLI97-WueAP90JO-15i)
2. 自然语言处理深度学习(2015–2017)Nils Reimers,TU Darmstadt 课程网页 – [DL4NLP](https://github.com/UKPLab/deeplearning4nlp-tutorial) 讲座视频 – [YouTube讲座](https://www.youtube.com/channel/UC1zCuTrfpjT6Sv2kJk-JkvA/videos)
3. 自然语言处理深度学习(2017)众多传奇人物,DeepMind-Oxford 课程网页 – [DL-NLP](http://www.cs.ox.ac.uk/teaching/courses/2016-2017/dl/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL613dYIGMXoZBtZhbyiBqb0QtgK6oJbpm)
4. 语音与语言深度学习(2017)UPC Barcelona 课程网页 – [DL-SL](https://telecombcn-dl.github.io/2017-dlsl/) 讲座视频 – [讲座视频](https://telecombcn-dl.github.io/2017-dlsl/)(与网页相同)
5. 自然语言处理神经网络(2017)Graham Neubig,CMU 课程网页 – [NN4NLP](http://www.phontron.com/class/nn4nlp2017/) / [代码](https://github.com/neubig/nn4nlp-code) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL8PYTP1V4I8ABXzdqtOpB_eqBlVAz_xPT)
6. 自然语言处理神经网络(2018)Graham Neubig,CMU 课程网页 – [NN4-NLP](http://www.phontron.com/class/nn4nlp2018/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL8PYTP1V4I8Ba7-rY4FoB4-jfuJ7VDKEE)
7. NLP深度学习(2018)Min-Yen Kan,NUS 课程网页 – [CS-6101](https://www.comp.nus.edu.sg/~kanmy/courses/6101_1810/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLllwxvcS7ca5eD44KTCiT7Rmu_hFAafXB)
8. 自然语言处理神经网络(2019)Graham Neubig,CMU 课程网页 – [NN4NLP](http://www.phontron.com/class/nn4nlp2019/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL8PYTP1V4I8Ajj7sY6sdtmjgkt7eo2VMs)
9. 深度学习自然语言处理(2019)Abigail See,Chris Manning,Richard Socher,斯坦福大学 课程网页 – [CS224n](http://web.stanford.edu/class/cs224n/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLoROMvodv4rOhcuXMZkNm7j3fVwBBY42z)
10. 自然语言理解(2019春季)Bill MacCartney和Christopher Potts 课程网页 – [CS224U](https://web.stanford.edu/class/cs224u) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLoROMvodv4rObpMCir6rNNUlFAn56Js20)
11. 自然语言处理神经网络(2020春季)Graham Neubig,卡内基梅隆大学 课程网页 – [CS 11-747](http://www.phontron.com/class/nn4nlp2020/schedule.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL8PYTP1V4I8CJ7nMxMC8aXv8WqKYwj-aJ)
12. 高级自然语言处理(2020秋季)Mohit Iyyer,UMass Amherst 课程网页 – [CS 685](https://people.cs.umass.edu/~miyyer/cs685) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLWnsVgP6CzadmQX6qevbar3_vDBioWHJL)
13. 机器翻译(2020秋季)Philipp Koehn,约翰霍普金斯大学 课程网页 – [EN 601.468/668](http://mt-class.org/jhu/syllabus.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLQrCiUDqDLG0lQX54o9jB4phJ-SLI6ZBQ)
14. NLP神经网络(2021)Graham Neubig,卡内基梅隆大学 课程网页 – [CS 11-747](http://www.phontron.com/class/nn4nlp2021) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL8PYTP1V4I8AkaHEJ7lOOrlex-pcxS-XV)
15. 自然语言处理深度学习(2021秋季)Kyunghyun Cho,纽约大学 课程网页 – [DS-GA 1011](https://drive.google.com/drive/folders/1ykXBtophaY_65VHK_8yDzZQJwfJDD5Ve) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLdH9u0f1XKW_s-c8EcgJpn_HJz5Jj1IRf)
16. 深度学习自然语言处理(2021)Chris Manning,斯坦福大学 课程网页 – [CS224n](https://web.stanford.edu/class/archive/cs/cs224n/cs224n.1214/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLoROMvodv4rOSH4v6133s9LFPRHjEmbmJ)
# 11. 自动语音识别
1. 语音与语言深度学习(2017)UPC Barcelona 课程网页 – [DL-SL](https://telecombcn-dl.github.io/2017-dlsl/) 讲座视频 – [讲座视频](https://telecombcn-dl.github.io/2017-dlsl/) / [YouTube视频](https://www.youtube.com/playlist?list=PL-5DCZHuHZkWeF9ljIjoC_X5gHRLNtIkU)
2. 东北地区语音与音频(2015)众多传奇人物,Google NYC 课程网页 – [SANE-15](http://www.saneworkshop.org/sane2015/) 讲座视频 – [YouTube视频](https://www.youtube.com/playlist?list=PLBJWRPcgwk7sZOB4UTVilWWnRg84L9o5i)
3. 自动语音识别(2016)Samudra Vijaya K,TIFR 课程网页 – 无 讲座视频 – [YouTube视频](https://www.youtube.com/channel/UCHk6uq1Cr9J3k5KNmIsYUNw/videos)
4. 东北地区语音与音频(2017)众多传奇人物,Google NYC 课程网页 – [SANE-17](http://www.saneworkshop.org/sane2017/) 讲座视频 – [YouTube视频](https://www.youtube.com/playlist?list=PLBJWRPcgwk7tNLaBVu_S90ZQSblO3bwjg)
5. 东北地区语音与音频(2018)众多传奇人物,Google Cambridge 课程网页 – [SANE-18](http://www.saneworkshop.org/sane2018/) 讲座视频 – [YouTube视频](https://www.youtube.com/playlist?list=PLBJWRPcgwk7sjMANn8jqosyHIMe6DJhmn)
6. 语音识别深度学习(2015–2018)众多传奇人物,AoE 课程网页 – 无 讲座视频 – [YouTube视频](https://www.youtube.com/playlist?list=PLM4Pv4KYYzGyFYCXV6YPWAKVOR2gmHnQd)
# 12. 现代计算机视觉
1. 微软计算机视觉暑期学校 -(经典)(2011)众多传奇人物,莫斯科国立罗蒙诺索夫大学 课程网页 – 无 讲座视频 – [YouTube视频](https://www.youtube.com/playlist?list=PLbwKcm5vdiSYU54xFUG1zoxQTulqvIcJu) / [俄语镜像](https://www.youtube.com/playlist?list=PL-_cKNuVAYAUp0eCL7KO8QY4ETY3tIDFH)
2. 计算机视觉 -(经典)(2012)Mubarak Shah,UCF 课程网页 – [CAP-5415](http://crcv.ucf.edu/courses/CAP5415/Fall2012/index.php) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLd3hlSJsX_Imk_BPmB_H3AQjFKZS9XgZm)
3. 图像与多维信号处理 -(经典)(2012)William Hoff,科罗拉多矿业学院 课程网页 – [CSCI 510/EENG 510](http://inside.mines.edu/~whoff/courses/EENG510) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLyED3W677ALNv8Htn0f9Xh-AHe1aZPftv)
4. 计算机视觉 -(经典)(2012)William Hoff,科罗拉多矿业学院 课程网页 – [CSCI 512/EENG 512](http://inside.mines.edu/~whoff/courses/EENG512/index.htm) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL4B3F8D4A5CAD8DA3)
5. 图像与视频处理:从火星到好莱坞,中途停靠医院(2013)Guillermo Sapiro,杜克大学 课程网页 – 无 讲座视频 – [YouTube视频](https://www.youtube.com/playlist?list=PLZ9qNFMHZ-A79y1StvUUqgyL-O0fZh2rs)
6. 多视图几何(经典)(2013)Daniel Cremers,慕尼黑工业大学 课程网页 – [mvg](https://vision.in.tum.de/teaching/ss2014/mvg2014) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLTBdjV_4f-EJn6udZ34tht9EVIW7lbeo4)
7. 机器人学、视觉与图形学的数学方法(2013)Justin Solomon,斯坦福大学 课程网页 – [CS-205A](http://graphics.stanford.edu/courses/cs205a/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLQ3UicqQtfNvQ_VzflHYKhAqZiTxOkSwi)
8. 计算机视觉 -(经典)(2014)Mubarak Shah,UCF 课程网页 – [CAP-5415](http://crcv.ucf.edu/courses/CAP5415/Fall2014/index.php) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLd3hlSJsX_ImKP68wfKZJVIPTd8Ie5u-9)
9. 视觉特效计算机视觉(经典)(2014春季)Rich Radke,伦斯勒理工学院 课程网页 – [ECSE-6969](https://www.ecse.rpi.edu/~rjradke/cvfxcourse.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLuh62Q4Sv7BUJlKlt84HFqSWfW36MDd5a)
10. 飞行机器人自主导航(2014)Juergen Sturm,慕尼黑工业大学 课程网页 – [Autonavx](https://jsturm.de/wp/teaching/autonavx-slides/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLTBdjV_4f-EKBCUs1HmMtsnXv4JUoFrzg)
11. SLAM - 移动机器人(2014)Cyrill Stachniss,弗莱堡大学 课程网页 – [机器人建图](http://ais.informatik.uni-freiburg.de/teaching/ws13/mapping/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLgnQpQtFTOGQrZ4O5QzbIHgl3b1JHimN_)
12. 计算摄影(2015)Irfan Essa,David Joyner,Arpan Chakraborty 课程网页 – [CP-Udacity](https://eu.udacity.com/course/computational-photography--ud955) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLAwxTw4SYaPn-unAWtRMleY4peSe4OzIY)
13. 数字图像处理导论(2015春季)Rich Radke,伦斯勒理工学院 课程网页 – [ECSE-4540](https://www.ecse.rpi.edu/~rjradke/improccourse.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLuh62Q4Sv7BUf60vkjePfcOQc8sHxmnDX)
14. 数字摄影讲座(2016)Marc Levoy,斯坦福/Google Research 课程网页 – [LoDP](https://sites.google.com/site/marclevoylectures/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL7ddpXYvFXspUN0N-gObF1GXoCA-DA-7i)
15. 计算机视觉导论(基础)(2016)Aaron Bobick,Irfan Essa,Arpan Chakraborty 课程网页 – [CV-Udacity](https://eu.udacity.com/course/introduction-to-computer-vision--ud810) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLAwxTw4SYaPnbDacyrK_kB_RUkuxQBlCm)
16. 计算机视觉(2016)Syed Afaq Ali Shah,西澳大学 课程网页 – 无 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLvqB6_mDBCdlnT84LK_NvbOqcXLlOTR8j)
17. 摄影测量I & II(2016)Cyrill Stachniss,波恩大学 课程网页 – [PG-I&II](https://www.ipb.uni-bonn.de/photogrammetry-i-ii/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLgnQpQtFTOGRsi5vzy9PiQpNWHjq-bKN1)
18. 计算机视觉深度学习(2016–2018)UPC Barcelona 课程网页 – [DLCV-16](http://imatge-upc.github.io/telecombcn-2016-dlcv/) / [DLCV-17](https://telecombcn-dl.github.io/2017-dlcv/) / [DLCV-18](https://telecombcn-dl.github.io/2018-dlcv/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL-5eMc3HQTBbuaTFP4wsfD2Y2VqEfQcaP)
19. 卷积神经网络(2017)Andrew Ng,斯坦福大学 课程网页 – [DeepLearning.AI](https://www.deeplearning.ai/deep-learning-specialization/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLkDaE6sCZn6Gl29AoE31iwdVwSG-KnDzF)
20. 计算机视觉变分方法(2017)Daniel Cremers,慕尼黑工业大学 课程网页 – [VMCV](https://vision.in.tum.de/teaching/ws2016/vmcv2016) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLTBdjV_4f-EJ7A2iIH5L5ztqqrWYjP2RI)
21. 计算机视觉冬季学校(2017)众多传奇人物,以色列高等研究院 课程网页 – [WS-CV](http://www.as.huji.ac.il/cse) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLTn74Qx5mPsSniA5tt6W-o0OGYEeKScug)
22. 视觉计算深度学习(2018)Debdoot Sheet,IIT-Kgp 课程网页 – [Nptel](https://onlinecourses.nptel.ac.in/noc18_ee08/preview) / [Notebooks](https://github.com/iitkliv/dlvcnptel) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLuv3GM6-gsE1Biyakccxb3FAn4wBLyfWf)
23. 计算机视觉的古老秘密(2018)Joseph Redmon,Ali Farhadi 课程网页 – [TASCV](https://pjreddie.com/courses/computer-vision/) / [TASCV-UW](https://courses.cs.washington.edu/courses/cse455/18sp/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLjMXczUzEYcHvw5YYSU92WrY8IwhTuq7p)
24. 现代机器人学(2018)Kevin Lynch,西北大学机器人学 课程网页 – [现代机器人](http://hades.mech.northwestern.edu/index.php/Modern_Robotics) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLggLP4f-rq02vX0OQQ5vrCxbJrzamYDfx)
25. 数字图像处理(2018)Alex Bronstein,Technion 课程网页 – [CS236860](https://vistalab-technion.github.io/cs236860/info/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLM0a6Z788YAZOxUyWda9y3N_i2upIj1Ep)
26. 成像数学 - 成像中的变分方法与优化(2019)众多传奇人物,亨利·庞加莱研究所 课程网页 – [研讨会-1](http://www.ihp.fr/sites/default/files/conf1-04_au_08_fevr-imaging2019.pdf) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL9kd4mpdvWcAzD5Aq-P1TrLLiYckrloxw)
27. 视频深度学习(2019)Xavier Giró,UPC Barcelona 课程网页 – [深度视频](https://mcv-m6-video.github.io/deepvideo-2019/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL-5eMc3HQTBbPY-627Gornj09pZrNQgPD)
28. 形状与成像的统计建模(2019)众多传奇人物,亨利·庞加莱研究所,巴黎 课程网页 – [研讨会-2](https://imaging-in-paris.github.io/semester2019/workshop2prog) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL9kd4mpdvWcAzD5Aq-P1TrLLiYckrloxw)
29. 成像与机器学习(2019)众多传奇人物,亨利·庞加莱研究所,巴黎 课程网页 – [研讨会-3](https://imaging-in-paris.github.io/semester2019/workshop3prog) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL9kd4mpdvWcAzD5Aq-P1TrLLiYckrloxw)
30. 计算机视觉(2019)Jayanta Mukhopadhyay,IIT Kgp 课程网页 – [CV-nptel](https://nptel.ac.in/courses/106/105/106105216/) 讲座视频 – [YouTube讲座](https://nptel.ac.in/courses/106/105/106105216/)(与网页相同)
31. 计算机视觉深度学习(2019)Justin Johnson,UMichigan 课程网页 – [EECS 498-007](https://web.eecs.umich.edu/~justincj/teaching/eecs498/) 讲座视频 – [讲座视频](http://leccap.engin.umich.edu/leccap/site/jhygcph151x25gjj1f0) / [YouTube讲座](https://www.youtube.com/playlist?list=PL5-TkQAfAZFbzxjBHtzdVCWE0Zbhomg7r)
32. 传感器与状态估计2(2020春季)Cyrill Stachniss,波恩大学 课程网页 – 无 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLgnQpQtFTOGQh_J16IMwDlji18SWQ2PZ6)
33. 计算机视觉III:检测、分割与跟踪(2020春季)Laura Leal-Taixé,TU München 课程网页 – [CV3DST](https://dvl.in.tum.de/teaching/cv3dst-ss20/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLog3nOPCjKBneGyffEktlXXMfv1OtKmCs)
34. 计算机视觉高级深度学习(2020春季)Laura Leal-Taixé和Matthias Nießner,TU München 课程网页 – [ADL4CV](https://dvl.in.tum.de/teaching/adl4cv-ss20) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLog3nOPCjKBnjhuHMIXu4ISE4Z4f2jm39)
35. 计算机视觉:基础(2020夏季)Fred Hamprecht,海德堡大学 课程网页 – [CVF](https://hci.iwr.uni-heidelberg.de/ial/cvf) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLuRaSnb3n4kRAbnmiyGd77hyoGzO9wPde)
36. MIT视觉研讨会(2015–至今)众多传奇人物,MIT 课程网页 – [MIT-Vision](https://sites.google.com/view/visionseminar/past-talks) 讲座视频 – [YouTube讲座](https://www.youtube.com/channel/UCLMiFkFyfcNnZs6iwYLPI9g/videos)
37. TUM AI客座讲座(2020–至今)众多传奇人物,慕尼黑工业大学 课程网页 – [TUM-AI](https://niessner.github.io/TUM-AI-Lecture-Series) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLQ8Y4kIIbzy8kMlz7cRqz-BjbdyWsfLXt)
38. 3D几何与视觉研讨会(2020–至今)众多传奇人物,线上 课程网页 – [3DGV研讨会](https://3dgv.github.io/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLZk0jtN0g8e-xVTfsiV67q8Iz1cZO_FpV)
39. 基于事件的机器人视觉(2020–至今)Guillermo Gallego,柏林工业大学 课程网页 – [EVIS-SS20](https://sites.google.com/view/guillermogallego/teaching/event-based-robot-vision) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL03Gm3nZjVgUFYUh3v5x8jVonjrGfcal8)
40. 计算机视觉深度学习(2020)Vineeth Balasubramanian,IIT Hyderabad 课程网页 – [DL-CV'20](https://onlinecourses.nptel.ac.in/noc20_cs88/preview) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLyqSpQzTE6M_PI-rIz4O1jEgffhJU9GgG)
41. 视觉计算深度学习(2020)Peter Wonka,KAUST,SA 课程网页 – 无 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLMpQLEui13s2DHbw6kTTxwQma8rehlfZE)
42. 计算机视觉(2020秋季)Yogesh Rawat,中佛罗里达大学 课程网页 – [CAP5415-CV](https://www.crcv.ucf.edu/courses/cap5415-fall-2020/schedule/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLd3hlSJsX_Ikm5il1HgmDB_z62BeoikFX)
43. 多媒体信号处理(2020秋季)Mark Hasegawa-Johnson,UIUC 课程网页 – [ECE-417 MSP](https://courses.engr.illinois.edu/ece417/fa2020/) 讲座视频 – [讲座视频](https://mediaspace.illinois.edu/channel/ECE 417/26816181)
44. 计算机视觉(2021春季)Andreas Geiger,图宾根大学 课程网页 – [计算机视觉](https://uni-tuebingen.de/fakultaeten/mathematisch-naturwissenschaftliche-fakultaet/fachbereiche/informatik/lehrstuehle/autonomous-vision/lectures/computer-vision/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL05umP7R6ij35L2MHGzis8AEHz7mg381_)
45. 3D计算机视觉(2021)Lee Gim Hee,新加坡国立大学 课程网页 – 无 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLxg0CGqViygP47ERvqHw_v7FVnUovJeaz)
46. 计算机视觉深度学习:基础与应用(2021春季)T. Dekel等,魏茨曼科学研究所 课程网页 – [DL4CV](https://dl4cv.github.io/schedule.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL_Z2_U9MIJdNgFM7-f2fZ9ZxjVRP_jhJv)
47. 3D与几何深度学习中ML方法当前主题(2021)Animesh Garg等,多伦多大学 课程网页 – [CSC 2547](http://www.pair.toronto.edu/csc2547-w21) 讲座视频 – [YouTube讲座](https://www.youtube.com/channel/UCrsmAXnwu6sgccWevW12Dfg/videos)
48. 计算机视觉第一性原理(2021)Shree K. Nayar,哥伦比亚大学 课程网页 – [FPCV](https://fpcv.cs.columbia.edu/) 讲座视频 – [YouTube讲座](https://www.youtube.com/channel/UCf0WB91t8Ky6AuYcQV0CcLw/videos)
49. 自动驾驶汽车(2021冬季)Andreas Geiger,图宾根大学 课程网页 – [SDC'21](https://uni-tuebingen.de/de/123611) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL05umP7R6ij321zzKXK6XCQXAaaYjQbzr)
# 13. 训练营或暑期学校
1. 深度学习,特征学习(2012)众多传奇人物,IPAM UCLA 课程网页 – [GSS-2012](https://www.ipam.ucla.edu/programs/summer-schools/graduate-summer-school-deep-learning-feature-learning/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLHyI3Fbmv0SdzMHAy0aN59oYnLy5vyyTA)
2. 大数据训练营(2013)众多传奇人物,西蒙斯研究所 课程网页 – [大数据](https://simons.berkeley.edu/workshops/schedule/316) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLgKuh-lKre13RmUC2AybRvVAxO5DEMIBH)
3. 机器学习暑期学校(2013)众多传奇人物,MPI-IS Tübingen 课程网页 – [MLSS-13](http://mlss.tuebingen.mpg.de/2013/2013/index.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLqJm7Rc5-EXFv6RXaPZzzlzo93Hl0v91E)
4. 研究生暑期学校:计算机视觉(2013)众多传奇人物,IPAM-UCLA 课程网页 – [GSS-CV](http://www.ipam.ucla.edu/programs/summer-schools/graduate-summer-school-computer-vision/) 讲座视频 – [视频讲座](http://www.ipam.ucla.edu/programs/summer-schools/graduate-summer-school-computer-vision/?tab=schedule)
5. 机器学习暑期学校(2014)众多传奇人物,雷克雅未克大学 课程网页 – [MLSS-14](http://mlss2014.hiit.fi/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLqdbxUnkqOw2nKn7VxYqIrKWcqRkQYOsF)
6. 机器学习暑期学校(2014)众多传奇人物,匹兹堡 课程网页 – [MLSS-14](http://www.mlss2014.com/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLZSO_6-bSqHQCIYxE3ycGLXHMjK3XV7Iz)
7. 深度学习暑期学校(2015)众多传奇人物,蒙特利尔大学 课程网页 – [DLSS-15](https://sites.google.com/site/deeplearningsummerschool/home) 讲座视频 – [YouTube讲座](http://videolectures.net/deeplearning2015_montreal/)
8. 生物医学图像分析暑期学校(2015)众多传奇人物,CentraleSupelec,巴黎 课程网页 – 无 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLgSHH6boFf5uJAUT4ZRiAZc_ofXolkAGK)
9. 信号处理数学(2016)众多传奇人物,Hausdorff数学研究所 课程网页 – [信号处理](http://www.him.uni-bonn.de/signal-processing-2016/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLul8LCT3AJqSQo3lr5RbwxJ92RsgRuDtx)
10. 微软研究院 - 机器学习课程(2016)S V N Vishwanathan和Prateek Jain MS-Research 课程网页 – 无 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL34iyE0uXtxo7vPXGFkmm6KbgZQwjf9Kf)
11. 深度学习暑期学校(2016)众多传奇人物,蒙特利尔大学 课程网页 – [DL-SS-16](https://sites.google.com/site/deeplearningsummerschool2016/home) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL5bqIc6XopCbb-FvnHmD1neVlQKwGzQyR)
12. 里斯本机器学习学校(2016)众多传奇人物,葡萄牙高等技术学院 课程网页 – [LxMLS-16](http://lxmls.it.pt/2016/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLToLj8M4ao-fymxXBIOU6sF1NGFLb5EiX)
13. 机器学习进展与应用研讨会(2016–2017)众多传奇人物,菲尔兹研究所,多伦多大学 课程网页 – [MLAAS-16](http://www.fields.utoronto.ca/activities/16-17/machine-learning) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLfsVAYSMwskuQcRkuDApP40lX_i08d0QK) / [视频讲座](http://www.fields.utoronto.ca/video-archive/event/2267)
14. 机器学习进展与应用研讨会(2017–2018)众多传奇人物,菲尔兹研究所,多伦多大学 课程网页 – [MLAAS-17](http://www.fields.utoronto.ca/activities/17-18/machine-learning) 讲座视频 – [视频讲座](http://www.fields.utoronto.ca/video-archive/event/2487)
15. 机器学习暑期学校(2017)众多传奇人物,MPI-IS Tübingen 课程网页 – [MLSS-17](http://mlss.tuebingen.mpg.de/2017/index.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLqJm7Rc5-EXFUOvoYCdKikfck8YeUCnl9)
16. 表示学习(2017)众多传奇人物,西蒙斯研究所 课程网页 – [表示学习](https://simons.berkeley.edu/workshops/abstracts/3750) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLgKuh-lKre13UNV4ztsWUXciUZ7x_ZDHz)
17. 机器学习基础(2017)众多传奇人物,西蒙斯研究所 课程网页 – [ML训练营](https://simons.berkeley.edu/workshops/abstracts/3748) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLgKuh-lKre11GbZWneln-VZDLHyejO7YD)
18. 优化、统计与不确定性(2017)众多传奇人物,西蒙斯研究所 课程网页 – [优化-统计](https://simons.berkeley.edu/workshops/abstracts/4795) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLgKuh-lKre13ACD44z2FH-IVP1e8ip5JO)
19. 深度学习:理论、算法与应用(2017)众多传奇人物,TU-Berlin 课程网页 – [DL: TAA](http://doc.ml.tu-berlin.de/dlworkshop2017/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLJOzdkh8T5kqCNV_v1w2tapvtJDZYiohW)
20. 深度学习与强化学习暑期学校(2017)众多传奇人物,蒙特利尔大学 课程网页 – [DLRL-2017](https://mila.quebec/en/cours/deep-learning-summer-school-2017/) 讲座视频 – [讲座视频](http://videolectures.net/deeplearning2017_montreal/)
21. 机器学习中的统计物理方法(2017)众多传奇人物,国际理论科学中心,TIFR 课程网页 – [SPMML](https://www.icts.res.in/discussion-meeting/SPMML2017) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL04QVxpjcnjhtL3IIVyFRMOgdhWtPn7YJ)
22. 里斯本机器学习学校(2017)众多传奇人物,葡萄牙高等技术学院 课程网页 – [LxMLS-17](http://lxmls.it.pt/2017/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLToLj8M4ao-fuRfnzEJCCnvuW2_FeJ73N)
23. 交互式学习(2017)众多传奇人物,西蒙斯研究所,伯克利 课程网页 – [IL-2017](https://simons.berkeley.edu/workshops/schedule/3749) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLgKuh-lKre10T2POF-WzXh0ckdpyvANUx)
24. 机器学习中的计算挑战(2017)众多传奇人物,西蒙斯研究所,伯克利 课程网页 – [CCML-17](https://simons.berkeley.edu/workshops/schedule/3751) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLgKuh-lKre12eXz4dnvc8oervo2_Af4iU)
25. 数据科学基础(2018)众多传奇人物,西蒙斯研究所 课程网页 – [DS训练营](https://simons.berkeley.edu/workshops/abstracts/6680) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLgKuh-lKre13r1Qrnrejj3f498-NurSf3)
26. 深度学习与贝叶斯方法(2018)众多传奇人物,HSE Moscow 课程网页 – [DLBM-SS](http://deepbayes.ru/2018/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLe5rNUydzV9Q01vWCP9BV7NhJG3j7mz62)
27. 新深度学习技术(2018)众多传奇人物,IPAM UCLA 课程网页 – [IPAM研讨会](https://www.ipam.ucla.edu/programs/workshops/new-deep-learning-techniques/?tab=schedule) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLHyI3Fbmv0SdM0zXj31HWjG9t9Q0v2xYN)
28. 深度学习与强化学习暑期学校(2018)众多传奇人物,多伦多大学 课程网页 – [DLRL-2018](https://dlrlsummerschool.ca/2018-event/) 讲座视频 – [讲座视频](http://videolectures.net/DLRLsummerschool2018_toronto/)
29. 机器学习暑期学校(2018)众多传奇人物,马德里自治大学,西班牙 课程网页 – [MLSS-18](http://mlss.ii.uam.es/mlss2018/index.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/channel/UCbPJHr__eIor_7jFH3HmVHQ/videos) / [课程视频](http://mlss.ii.uam.es/mlss2018/speakers.html)
30. 机器学习理论基础(2018)众多传奇人物,国际理论科学中心,TIFR 课程网页 – [TBML-18](https://www.icts.res.in/discussion-meeting/tbml2018) 讲座视频 – [讲座视频](https://www.icts.res.in/discussion-meeting/tbml2018/talks) / [YouTube视频](https://www.youtube.com/playlist?list=PL04QVxpjcnjj1DgnXxFBo2fkSju4r-ggr)
31. 波兰机器学习视角(2018)众多传奇人物,华沙 课程网页 – [PLinML-18](https://plinml.mimuw.edu.pl/) 讲座视频 – [YouTube视频](https://www.youtube.com/playlist?list=PLoaWrlj9TDhPcA6N9dZQ6GPXboYuumDRp)
32. 天文学中的大数据分析(2018)众多传奇人物,特内里费 课程网页 – [BDAA-18](http://research.iac.es/winterschool/2018/pages/book-ws2018.php) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLM4Pv4KYYzGx42W5pSp3Itetp0u-PENtI)
33. 机器学习进展与应用研讨会(2018–2019)众多传奇人物,菲尔兹研究所,多伦多大学 课程网页 – [MLASS](http://www.fields.utoronto.ca/activities/18-19/machine-learning) 讲座视频 – [视频讲座](http://www.fields.utoronto.ca/video-archive/event/2681)
34. MIFODS- ML、统计、ToC研讨会(2018–2019)众多传奇人物,MIT 课程网页 – [MIFODS研讨会](http://mifods.mit.edu/seminar.php) 讲座视频 – [讲座视频](http://mifods.mit.edu/seminar.php)(与网页相同)
35. 学习机器研讨会系列(2018–至今)众多传奇人物,Cornell Tech 课程网页 – [LMSS](https://lmss.tech.cornell.edu/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLycW2Yy79JuxbQZ9uHEu_NS3cGNomhL2A)
36. 机器学习暑期学校(2019)众多传奇人物,南非 课程网页 – [MLSS'19](https://mlssafrica.com/programme-schedule/) 讲座视频 – [YouTube讲座](https://www.youtube.com/channel/UC722CmQVgcLtxt_jXr3RyWg/videos)
37. 深度学习训练营(2019)众多传奇人物,西蒙斯研究所,伯克利 课程网页 – [DLBC-19](https://simons.berkeley.edu/workshops/schedule/10624) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLgKuh-lKre12c2Il9mNX0Cmp9Z4oFNrQh)
38. 深度学习前沿(2019)众多传奇人物,西蒙斯研究所,伯克利 课程网页 – [FoDL-19](https://simons.berkeley.edu/workshops/schedule/10627) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLgKuh-lKre11ekU7g-Z_qsvjDD8cT-hi9)
39. 数据数学:用于感知、近似与学习的结构化表示(2019)众多传奇人物,艾伦·图灵研究所,伦敦 课程网页 – [MoD-19](https://www.turing.ac.uk/sites/default/files/2019-05/agenda_9_3.pdf) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLuD_SqLtxSdX_w1Ztexpzl_EJgFQSkWez)
40. 深度学习与贝叶斯方法(2019)众多传奇人物,HSE Moscow 课程网页 – [DLBM-SS](http://deepbayes.ru/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLe5rNUydzV9QHe8VDStpU0o8Yp63OecdW)
41. 深度学习与数据科学的数学(2019)众多传奇人物,艾萨克·牛顿研究所,剑桥 课程网页 – [MoDL-DS](https://gateway.newton.ac.uk/event/ofbw46) 讲座视频 – [讲座视频](https://gateway.newton.ac.uk/event/ofbw46/programme)
42. 深度学习的几何(2019)众多传奇人物,MSR Redmond 课程网页 – [GoDL](https://www.microsoft.com/en-us/research/event/ai-institute-2019) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLD7HFcN7LXRe30qq36It2XCljxc340O_d)
43. 科学深度学习学校(2019)众多人士,LBNL,伯克利 课程网页 – [DLfSS](https://dl4sci-school.lbl.gov/agenda) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL20S5EeApOSvfvEyhCPOUzU7zkBcR5-eL)
44. 深度学习中的新兴挑战(2019)众多传奇人物,西蒙斯研究所,伯克利 课程网页 – [ECDL](https://simons.berkeley.edu/workshops/schedule/10629) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLgKuh-lKre10BpafDrv0fg2VNUweWXWVd)
45. 全栈深度学习(2019)Pieter Abbeel等,UC Berkeley 课程网页 – [FSDL-M19](https://fullstackdeeplearning.com/march2019) 讲座视频 – [YouTube讲座-第1天](https://www.youtube.com/playlist?list=PL1T8fO7ArWlcf3Hc4VMEVBlH8HZm_NbeB) / [第2天](https://www.youtube.com/playlist?list=PL1T8fO7ArWlf6TWwdstb-PcwlubnlrKrm)
46. 机器学习的算法与理论方面(2019)众多传奇人物,IIIT-Bengaluru 课程网页 – [ACM-ML](https://india.acm.org/education/machine-learning) / [nptel](https://nptel.ac.in/courses/128/106/128106011/) 讲座视频 – [YouTube讲座](https://nptel.ac.in/courses/128/106/128106011)
47. 深度学习与强化学习暑期学校(2019)众多传奇人物,AMII,埃德蒙顿,加拿大 课程网页 – [DLRL-2019](https://dlrlsummerschool.ca/past-years) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLKlhhkvvU8-aXmPQZNYG_e-2nTd0tJE8v)
48. 机器学习数学 - 暑期研究生学校(2019)众多传奇人物,华盛顿大学 课程网页 – [MoML-SGS](http://www.msri.org/summer_schools/866#schedule) / [MoML-SS](http://mathofml.cs.washington.edu/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLTPQEx-31JXhguCush5J7OGnEORofoCW9)
49. 深度学习理论研讨会:下一步是什么?(2019)众多传奇人物,IAS,普林斯顿大学 课程网页 – [WTDL](https://www.math.ias.edu/wtdl) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLdDZb3TwJPZ5dqqg_S-rgJqSFeH4DQqFQ)
50. 计算视觉暑期学校(2019)众多传奇人物,黑森林,德国 课程网页 – [CVSS-2019](http://orga.cvss.cc/program-cvss-2019/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLeCNfJWZKqxsvidOlVLtWq9s7sIsX1QTC)
51. 复杂结构下的学习(2020)众多传奇人物,MIT 课程网页 – [LUCS](https://mifods.mit.edu/complex.php) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLM4Pv4KYYzGwhIHcaY6zYR7M9hhFO4Vud)
52. 机器学习暑期学校(2020夏季)众多传奇人物,MPI-IS Tübingen(线上) 课程网页 – [MLSS](http://mlss.tuebingen.mpg.de/2020/schedule.html) 讲座视频 – [YouTube讲座](https://www.youtube.com/channel/UCBOgpkDhQuYeVVjuzS5Wtxw/videos)
53. 东欧机器学习暑期学校(2020春季)众多传奇人物,克拉科夫,波兰(线上) 课程网页 – [EEML](https://www.eeml.eu/program) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLaKY4p4V3gE1j01FOY2FeglV4jRntQj84)
54. 里斯本机器学习暑期学校(2020春季)众多传奇人物,里斯本,葡萄牙(线上) 课程网页 – [LxMLS](http://lxmls.it.pt/2020/?page_id=19) 讲座视频 – [YouTube讲座](https://www.youtube.com/channel/UCkVFZWgT1jR75UvSLGP9_mw)
55. 优化、统计与机器学习新方向研讨会(2020)众多传奇人物,高等研究院,普林斯顿 课程网页 – [ML-优化新方向](https://www.ias.edu/video/workshop/2020/0415-16) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLdDZb3TwJPZ4Ri6i0MIdesIEpYK4lx17Q)
56. 地中海机器学习学校(2021)众多传奇人物,意大利(线上) 课程网页 – [M2L学校](https://www.m2lschool.org/talks) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLF-wkqRv4u1YRbfnwN8cXXyrmXld-sked)
57. 机器学习数学 - 同一个世界研讨会(2020–至今)众多传奇人物,线上 课程网页 – [1W-ML](https://sites.google.com/view/oneworldml/past-events) 讲座视频 – [YouTube讲座](https://www.youtube.com/channel/UCz7WlgXs20CzugkfxhFCNFg/videos)
58. 深度学习理论暑期学校(2021)众多传奇人物,普林斯顿大学(线上) 课程网页 – [DLT'21](https://deep-learning-summer-school.princeton.edu/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PL2mB9GGlueJj_FNjJ8RWgz4Nc_hCSXfMU)
# 14. AGI鸟瞰
1. 通用人工智能(2018–2019)众多传奇人物,MIT 课程网页 – [6.S099-AGI](https://agi.mit.edu/) 讲座视频 – [讲座视频](https://agi.mit.edu/)(与网页相同)
2. AI播客(2018–2019)众多传奇人物,MIT 课程网页 – [AI-Pod](https://lexfridman.com/ai/) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4)
3. NYU - AI研讨会(2017–至今)众多传奇人物,NYU 课程网页 – [现代AI](https://engineering.nyu.edu/academics/departments/electrical-and-computer-engineering/ece-seminar-series/modern-artificial) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLhwo5ntex8iY9xhpSwWas451NgVuqBE7U)
4. 深度学习:炼金术还是科学?(2019)众多传奇人物,高等研究院,普林斯顿 课程网页 – [DLAS](https://video.ias.edu/deeplearning/2019/0222) / [议程](https://www.math.ias.edu/tml/dlasagenda) 讲座视频 – [YouTube讲座](https://www.youtube.com/playlist?list=PLdDZb3TwJPZ7aAxhIHALBoh8l6-UxmMNP)
# 最终寄语 – 我做了功课,现在你来学习
大多数人会收藏这个页面,感到自豪,然后一节讲座都不看
不要做那种人
选一门课 ➜ 如果你喜欢图像,也许选CS231n;如果你更喜欢游戏,选David Silver的RL;如果你想要LeCun的视角,选NYU的深度学习
今天就看第一讲。就一讲
打开列表。选择你的道路。开始构建真正能让你被录用的技能 ➜ 不花一分钱
如果你对AI感兴趣,关注[@sikamaratsai](https://x.com/@sikamaratsai)

序号课程名称大学/讲师课程网页讲座视频年份1.深度学习,特征学习众多传奇人物,IPAM UCLA[GSS-2012](https://www.ipam.ucla.edu/programs/summer-schools/graduate-summer-school-deep-learning-feature-learning/)[YouTube讲座](https://www.youtube.com/playlist?list=PLHyI3Fbmv0SdzMHAy0aN59oYnLy5vyyTA)20122.大数据训练营众多传奇人物,西蒙斯研究所[大数据](https://simons.berkeley.edu/workshops/schedule/316)[YouTube讲座](https://www.youtube.com/playlist?list=PLgKuh-lKre13RmUC2AybRvVAxO5DEMIBH)20133.机器学习暑期学校众多传奇人物,MPI-IS Tübingen[MLSS-13](http://mlss.tuebingen.mpg.de/2013/2013/index.html)[YouTube讲座](https://www.youtube.com/playlist?list=PLqJm7Rc5-EXFv6RXaPZzzlzo93Hl0v91E)20134研究生暑期学校:计算机视觉众多传奇人物,IPAM-UCLA[GSS-CV](http://www.ipam.ucla.edu/programs/summer-schools/graduate-summer-school-computer-vision/)[视频讲座](http://www.ipam.ucla.edu/programs/summer-schools/graduate-summer-school-computer-vision/?tab=schedule)20135.机器学习暑期学校众多传奇人物,雷克雅未克大学[MLSS-14](http://mlss2014.hiit.fi/)[YouTube讲座](https://www.youtube.com/playlist?list=PLqdbxUnkqOw2nKn7VxYqIrKWcqRkQYOsF)20146.机器学习暑期学校众多传奇人物,匹兹堡[MLSS-14](http://www.mlss2014.com/)[YouTube讲座](https://www.youtube.com/playlist?list=PLZSO_6-bSqHQCIYxE3ycGLXHMjK3XV7Iz)20147.深度学习暑期学校众多传奇人物,蒙特利尔大学[DLSS-15](https://sites.google.com/site/deeplearningsummerschool/home)[YouTube讲座](http://videolectures.net/deeplearning2015_montreal/)20158.生物医学图像分析暑期学校众多传奇人物,CentraleSupelec,巴黎无[YouTube讲座](https://www.youtube.com/playlist?list=PLgSHH6boFf5uJAUT4ZRiAZc_ofXolkAGK)20159.信号处理数学众多传奇人物,Hausdorff数学研究所[信号处理](http://www.him.uni-bonn.de/signal-processing-2016/)[YouTube讲座](https://www.youtube.com/playlist?list=PLul8LCT3AJqSQo3lr5RbwxJ92RsgRuDtx)201610.微软研究院 - 机器学习课程S V N Vishwanathan和Prateek Jain MS-Research无[YouTube讲座](https://www.youtube.com/playlist?list=PL34iyE0uXtxo7vPXGFkmm6KbgZQwjf9Kf)201611.深度学习暑期学校众多传奇人物,蒙特利尔大学[DL-SS-16](https://sites.google.com/site/deeplearningsummerschool2016/home)[YouTube讲座](https://www.youtube.com/playlist?list=PL5bqIc6XopCbb-FvnHmD1neVlQKwGzQyR)201612.里斯本机器学习学校众多传奇人物,葡萄牙高等技术学院[LxMLS-16](http://lxmls.it.pt/2016/)[YouTube讲座](https://www.youtube.com/playlist?list=PLToLj8M4ao-fymxXBIOU6sF1NGFLb5EiX)201613.机器学习进展与应用研讨会众多传奇人物,菲尔兹研究所,多伦多大学[MLAAS-16](http://www.fields.utoronto.ca/activities/16-17/machine-learning)[YouTube讲座](https://www.youtube.com/playlist?list=PLfsVAYSMwskuQcRkuDApP40lX_i08d0QK) [视频讲座](http://www.fields.utoronto.ca/video-archive/event/2267)2016-201714.机器学习进展与应用研讨会众多传奇人物,菲尔兹研究所,多伦多大学[MLAAS-17](http://www.fields.utoronto.ca/activities/17-18/machine-learning)[视频讲座](http://www.fields.utoronto.ca/video-archive/event/2487)2017-201815.机器学习暑期学校众多传奇人物,MPI-IS Tübingen[MLSS-17](http://mlss.tuebingen.mpg.de/2017/index.html)[YouTube讲座](https://www.youtube.com/playlist?list=PLqJm7Rc5-EXFUOvoYCdKikfck8YeUCnl9)201716.表示学习众多传奇人物,西蒙斯研究所[表示学习](https://simons.berkeley.edu/workshops/abstracts/3750)[YouTube讲座](https://www.youtube.com/playlist?list=PLgKuh-lKre13UNV4ztsWUXciUZ7x_ZDHz)201717.机器学习基础众多传奇人物,西蒙斯研究所[ML训练营](https://simons.berkeley.edu/workshops/abstracts/3748)[YouTube讲座](https://www.youtube.com/playlist?list=PLgKuh-lKre11GbZWneln-VZDLHyejO7YD)201718.优化、统计与不确定性众多传奇人物,西蒙斯研究所[优化-统计](https://simons.berkeley.edu/workshops/abstracts/4795)[YouTube讲座](https://www.youtube.com/playlist?list=PLgKuh-lKre13ACD44z2FH-IVP1e8ip5JO)201719.深度学习:理论、算法与应用众多传奇人物,TU-Berlin[DL: TAA](http://doc.ml.tu-berlin.de/dlworkshop2017/)[YouTube讲座](https://www.youtube.com/playlist?list=PLJOzdkh8T5kqCNV_v1w2tapvtJDZYiohW)201720.深度学习与强化学习暑期学校众多传奇人物,蒙特利尔大学[DLRL-2017](https://mila.quebec/en/cours/deep-learning-summer-school-2017/)[讲座视频](http://videolectures.net/deeplearning2017_montreal/)201721.机器学习中的统计物理方法众多传奇人物,国际理论科学中心,TIFR[SPMML](https://www.icts.res.in/discussion-meeting/SPMML2017)[YouTube讲座](https://www.youtube.com/playlist?list=PL04QVxpjcnjhtL3IIVyFRMOgdhWtPn7YJ)201722.里斯本机器学习学校众多传奇人物,葡萄牙高等技术学院[LxMLS-17](http://lxmls.it.pt/2017/)[YouTube讲座](https://www.youtube.com/playlist?list=PLToLj8M4ao-fuRfnzEJCCnvuW2_FeJ73N)201723.交互式学习众多传奇人物,西蒙斯研究所,伯克利[IL-2017](https://simons.berkeley.edu/workshops/schedule/3749)[YouTube讲座](https://www.youtube.com/playlist?list=PLgKuh-lKre10T2POF-WzXh0ckdpyvANUx)201724.机器学习中的计算挑战众多传奇人物,西蒙斯研究所,伯克利[CCML-17](https://simons.berkeley.edu/workshops/schedule/3751)[YouTube讲座](https://www.youtube.com/playlist?list=PLgKuh-lKre12eXz4dnvc8oervo2_Af4iU)201725.数据科学基础众多传奇人物,西蒙斯研究所[DS训练营](https://simons.berkeley.edu/workshops/abstracts/6680)[YouTube讲座](https://www.youtube.com/playlist?list=PLgKuh-lKre13r1Qrnrejj3f498-NurSf3)201826.深度学习与贝叶斯方法众多传奇人物,HSE Moscow[DLBM-SS](http://deepbayes.ru/2018/)[YouTube讲座](https://www.youtube.com/playlist?list=PLe5rNUydzV9Q01vWCP9BV7NhJG3j7mz62)201827.新深度学习技术众多传奇人物,IPAM UCLA[IPAM研讨会](https://www.ipam.ucla.edu/programs/workshops/new-deep-learning-techniques/?tab=schedule)[YouTube讲座](https://www.youtube.com/playlist?list=PLHyI3Fbmv0SdM0zXj31HWjG9t9Q0v2xYN)201828.深度学习与强化学习暑期学校众多传奇人物,多伦多大学[DLRL-2018](https://dlrlsummerschool.ca/2018-event/)[讲座视频](http://videolectures.net/DLRLsummerschool2018_toronto/)201829.机器学习暑期学校众多传奇人物,马德里自治大学,西班牙[MLSS-18](http://mlss.ii.uam.es/mlss2018/index.html)[YouTube讲座](https://www.youtube.com/channel/UCbPJHr__eIor_7jFH3HmVHQ/videos) [课程视频](http://mlss.ii.uam.es/mlss2018/speakers.html)201830.机器学习理论基础众多传奇人物,国际理论科学中心,TIFR[TBML-18](https://www.icts.res.in/discussion-meeting/tbml2018)[讲座视频](https://www.icts.res.in/discussion-meeting/tbml2018/talks) [YouTube视频](https://www.youtube.com/playlist?list=PL04QVxpjcnjj1DgnXxFBo2fkSju4r-ggr)201831.波兰机器学习视角众多传奇人物,华沙[PLinML-18](https://plinml.mimuw.edu.pl/)[YouTube视频](https://www.youtube.com/playlist?list=PLoaWrlj9TDhPcA6N9dZQ6GPXboYuumDRp)201832.天文学中的大数据分析众多传奇人物,特内里费[BDAA-18](http://research.iac.es/winterschool/2018/pages/book-ws2018.php)[YouTube讲座](https://www.youtube.com/playlist?list=PLM4Pv4KYYzGx42W5pSp3Itetp0u-PENtI)201833.机器学习进展与应用研讨会众多传奇人物,菲尔兹研究所,多伦多大学[MLASS](http://www.fields.utoronto.ca/activities/18-19/machine-learning)[视频讲座](http://www.fields.utoronto.ca/video-archive/event/2681)2018-201934.MIFODS- ML、统计、ToC研讨会众多传奇人物,MIT[MIFODS研讨会](http://mifods.mit.edu/seminar.php)[讲座视频](http://mifods.mit.edu/seminar.php)2018-201935.学习机器研讨会系列众多传奇人物,Cornell Tech[LMSS](https://lmss.tech.cornell.edu/)[YouTube讲座](https://www.youtube.com/playlist?list=PLycW2Yy79JuxbQZ9uHEu_NS3cGNomhL2A)2018-至今36.机器学习暑期学校众多传奇人物,南非[MLSS'19](https://mlssafrica.com/programme-schedule/)[YouTube讲座](https://www.youtube.com/channel/UC722CmQVgcLtxt_jXr3RyWg/videos)201937.深度学习训练营众多传奇人物,西蒙斯研究所,伯克利[DLBC-19](https://simons.berkeley.edu/workshops/schedule/10624)[YouTube讲座](https://www.youtube.com/playlist?list=PLgKuh-lKre12c2Il9mNX0Cmp9Z4oFNrQh)201938.深度学习前沿众多传奇人物,西蒙斯研究所,伯克利[FoDL-19](https://simons.berkeley.edu/workshops/schedule/10627)[YouTube讲座](https://www.youtube.com/playlist?list=PLgKuh-lKre11ekU7g-Z_qsvjDD8cT-hi9)201939.数据数学:用于感知、近似与学习的结构化表示众多传奇人物,艾伦·图灵研究所,伦敦[MoD-19](https://www.turing.ac.uk/sites/default/files/2019-05/agenda_9_3.pdf)[YouTube讲座](https://www.youtube.com/playlist?list=PLuD_SqLtxSdX_w1Ztexpzl_EJgFQSkWez)201940.深度学习与贝叶斯方法众多传奇人物,HSE Moscow[DLBM-SS](http://deepbayes.ru/)[YouTube讲座](https://www.youtube.com/playlist?list=PLe5rNUydzV9QHe8VDStpU0o8Yp63OecdW)201941.深度学习与数据科学的数学众多传奇人物,艾萨克·牛顿研究所,剑桥[MoDL-DS](https://gateway.newton.ac.uk/event/ofbw46)[讲座视频](https://gateway.newton.ac.uk/event/ofbw46/programme)201942.深度学习的几何众多传奇人物,MSR Redmond[GoDL](https://www.microsoft.com/en-us/research/event/ai-institute-2019)[YouTube讲座](https://www.youtube.com/playlist?list=PLD7HFcN7LXRe30qq36It2XCljxc340O_d)201943.科学深度学习学校众多人士,LBNL,伯克利[DLfSS](https://dl4sci-school.lbl.gov/agenda)[YouTube讲座](https://www.youtube.com/playlist?list=PL20S5EeApOSvfvEyhCPOUzU7zkBcR5-eL)201944.深度学习中的新兴挑战众多传奇人物,西蒙斯研究所,伯克利[ECDL](https://simons.berkeley.edu/workshops/schedule/10629)[YouTube讲座](https://www.youtube.com/playlist?list=PLgKuh-lKre10BpafDrv0fg2VNUweWXWVd)201945.全栈深度学习Pieter Abbeel等,UC Berkeley[FSDL-M19](https://fullstackdeeplearning.com/march2019)[YouTube讲座-第1天](https://www.youtube.com/playlist?list=PL1T8fO7ArWlcf3Hc4VMEVBlH8HZm_NbeB) [第2天](https://www.youtube.com/playlist?list=PL1T8fO7ArWlf6TWwdstb-PcwlubnlrKrm)201946.机器学习的算法与理论方面众多传奇人物,IIIT-Bengaluru[ACM-ML](https://india.acm.org/education/machine-learning) [nptel](https://nptel.ac.in/courses/128/106/128106011/)[YouTube讲座](https://nptel.ac.in/courses/128/106/128106011)201947.深度学习与强化学习暑期学校众多传奇人物,AMII,埃德蒙顿,加拿大[DLRL-2019](https://dlrlsummerschool.ca/past-years)[YouTube讲座](https://www.youtube.com/playlist?list=PLKlhhkvvU8-aXmPQZNYG_e-2nTd0tJE8v)201948.机器学习数学 - 暑期研究生学校众多传奇人物,华盛顿大学[MoML-SGS](http://www.msri.org/summer_schools/866#schedule),[MoML-SS](http://mathofml.cs.washington.edu/)[YouTube讲座](https://www.youtube.com/playlist?list=PLTPQEx-31JXhguCush5J7OGnEORofoCW9)201949.深度学习理论研讨会:下一步是什么?众多传奇人物,IAS,普林斯顿大学[WTDL](https://www.math.ias.edu/wtdl)[YouTube讲座](https://www.youtube.com/playlist?list=PLdDZb3TwJPZ5dqqg_S-rgJqSFeH4DQqFQ)201950.计算视觉暑期学校众多传奇人物,黑森林,德国[CVSS-2019](http://orga.cvss.cc/program-cvss-2019/)[YouTube讲座](https://www.youtube.com/playlist?list=PLeCNfJWZKqxsvidOlVLtWq9s7sIsX1QTC)201951.复杂结构下的学习众多传奇人物,MIT[LUCS](https://mifods.mit.edu/complex.php)[YouTube讲座](https://www.youtube.com/playlist?list=PLM4Pv4KYYzGwhIHcaY6zYR7M9hhFO4Vud)202052.机器学习暑期学校众多传奇人物,MPI-IS Tübingen(线上)[MLSS](http://mlss.tuebingen.mpg.de/2020/schedule.html)[YouTube讲座](https://www.youtube.com/channel/UCBOgpkDhQuYeVVjuzS5Wtxw/videos)2020夏季53.东欧机器学习暑期学校众多传奇人物,克拉科夫,波兰(线上)[EEML](https://www.eeml.eu/program)[YouTube讲座](https://www.youtube.com/playlist?list=PLaKY4p4V3gE1j01FOY2FeglV4jRntQj84)2020春季54.里斯本机器学习暑期学校众多传奇人物,里斯本,葡萄牙(线上)[LxMLS](http://lxmls.it.pt/2020/?page_id=19)[YouTube讲座](https://www.youtube.com/channel/UCkVFZWgT1jR75UvSLGP9_mw)2020春季55.优化、统计与机器学习新方向研讨会众多传奇人物,高等研究院,普林斯顿[ML-优化新方向](https://www.ias.edu/video/workshop/2020/0415-16)[YouTube讲座](https://www.youtube.com/playlist?list=PLdDZb3TwJPZ4Ri6i0MIdesIEpYK4lx17Q)202056.地中海机器学习学校众多传奇人物,意大利(线上)[M2L学校](https://www.m2lschool.org/talks)[YouTube讲座](https://www.youtube.com/playlist?list=PLF-wkqRv4u1YRbfnwN8cXXyrmXld-sked)202157.机器学习数学 - 同一个世界研讨会众多传奇人物,线上[1W-ML](https://sites.google.com/view/oneworldml/past-events)[YouTube讲座](https://www.youtube.com/channel/UCz7WlgXs20CzugkfxhFCNFg/videos)2020 - 至今58.深度学习理论暑期学校众多传奇人物,普林斯顿大学(线上)[DLT'21](https://deep-learning-summer-school.princeton.edu/)[YouTube讲座](https://www.youtube.com/playlist?list=PL2mB9GGlueJj_FNjJ8RWgz4Nc_hCSXfMU)2021
[返回目录](https://github.com/kmario23/deep-learning-drizzle#contents)⤴️
➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖
🐦 A(G)I鸟瞰 🦅
➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖
序号课程名称大学/讲师课程网页讲座视频年份1.通用人工智能众多传奇人物,MIT[6.S099-AGI](https://agi.mit.edu/)[讲座视频](https://agi.mit.edu/)2018-20192.AI播客众多传奇人物,MIT[AI-Pod](https://lexfridman.com/ai/)[YouTube讲座](https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4)2018-20193.NYU - AI研讨会众多传奇人物,NYU[现代AI](https://engineering.nyu.edu/academics/departments/electrical-and-computer-engineering/ece-seminar-series/modern-artificial)[YouTube讲座](https://www.youtube.com/playlist?list=PLhwo5ntex8iY9xhpSwWas451NgVuqBE7U)2017-至今4.深度学习:炼金术还是科学?众多传奇人物,高等研究院,普林斯顿[DLAS](https://video.ias.edu/deeplearning/2019/0222) [议程](https://www.math.ias.edu/tml/dlasagenda)[YouTube讲座](https://www.youtube.com/playlist?list=PLdDZb3TwJPZ7aAxhIHALBoh8l6-UxmMNP)2019
[返回目录](https://github.com/kmario23/deep-learning-drizzle#contents)⤴️
➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖
待办事项 🏃
➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖
⬜ 构成ML、DL、RL基础的优化课程
⬜ 以DL和ML为主的计算机视觉课程
⬜ 以DL为主的语音识别课程
⬜ 几何、图神经网络的结构化课程
⬜ 自动驾驶汽车部分
⬜ 以ML/DL为重点的计算机图形学部分
➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖
## 相关链接
- [shikamaru](https://x.com/shikamarutsai)
- [@shikamarutsai](https://x.com/shikamarutsai)
- [176K](https://x.com/shikamarutsai/status/2088918066310652358/analytics)
- [讲座幻灯片](http://www.cs.toronto.edu/~hinton/coursera_slides.html)
- [CSC321-tijmen](https://www.cs.toronto.edu/~tijmen/csc321/)
- [YouTube讲座](https://www.youtube.com/playlist?list=PLoRl3Ht4JOcdU872GhiYWf6jwrk_SNhz9)
- [UofT镜像](https://www.cs.toronto.edu/~hinton/coursera_lectures.html)
- [补充代码](https://github.com/stephencwelch/Neural-Networks-Demystified)
- [YouTube讲座](https://www.youtube.com/playlist?list=PLiaHhY2iBX9hdHaRr6b7XevZtgZRa1PoU)
- [Oxford-ML](http://www.cs.ox.ac.uk/teaching/courses/2014-2015/ml/)
- [YouTube讲座](https://www.youtube.com/playlist?list=PLE6Wd9FR--EfW8dtjAuPoTuPcqmOV53Fu)
- [ECE-6504](https://computing.ece.vt.edu/~f15ece6504/)
- [YouTube讲座](https://www.youtube.com/playlist?list=PLE6Wd9FR--EfW8dtjAuPoTuPcqmOV53Fu)
- [STAT-946](https://uwaterloo.ca/data-analytics/deep-learning)
- [YouTube讲座](https://www.youtube.com/playlist?list=PLehuLRPyt1Hyi78UOkMPWCGRxGcA9NVOE)
- [CS231n](http://cs231n.stanford.edu/2015/)
- [CS231n](http://cs231n.stanford.edu/2015/)
- [YouTube讲座](https://www.youtube.com/playlist?list=PLmImxx8Char8dxWB9LRqdpCTmewaml96q)
- [GitHub](https://github.com/gitwizChen/Deep-Learning-Source-Collection)
- [CS231n](http://cs231n.stanford.edu/2016/)
- [YouTube讲座](https://www.youtube.com/playlist?list=PLkt2uSq6rBVctENoVBg1TpCC7OQi31AlC)
- [(学术种子)](https://academictorrents.com/details/46c5af9e2075d9af06f280b55b65cf9b44eb9fe7)
- [神经网络](http://info.usherbrooke.ca/hlarochelle/neural_networks/content.html)
- [YouTube讲座](https://www.youtube.com/playlist?list=PL6Xpj9I5qXYEcOhn7TqghAJ6NAPrNmUBH)
- [(学术种子)](https://academictorrents.com/details/e046bca3bc837053d1609ef33d623ee5c5af7300)
- [CS224d](http://cs224d.stanford.edu/)
- [YouTube讲座](https://www.youtube.com/playlist?list=PLlJy-eBtNFt4CSVWYqscHDdP58M3zFHIG)
- [(学术种子)](https://academictorrents.com/details/dd9b74b50a1292b4b154094b7338ec1d66e8894d)
- [CS224n](http://web.stanford.edu/class/cs224n/)
- [YouTube讲座](https://www.youtube.com/playlist?list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6)
- [CS231n](http://cs231n.stanford.edu/2017/)
- [YouTube讲座](https://www.youtube.com/playlist?list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv)
- [(学术种子)](https://academictorrents.com/details/ed8a16ebb346e14119a03371665306609e485f13)
- [10707](https://deeplearning-cmu-10707.github.io/)
- [YouTube讲座](https://www.youtube.com/playlist?list=PLpIxOj-HnDsOSL__Buy7_UEVQkyfhHapa)
- [YouTube讲座](https://www.youtube.com/playlist?list=PLWKotBjTDoLj3rXBL-nEIPRN9V3a9Cx07)
- [EE4C16](https://github.com/frcs/4C16-2017)
- [YouTube讲座](https://www.youtube.com/playlist?list=PLIo1iEzl5iB9NkulNR0X5vXN8AaEKglWT)
- [CS230](http://cs230.stanford.edu/)
- [YouTube讲座](https://www.youtube.com/playlist?list=PLoROMvodv4rOABXSygHTsbvUz4G_YQhOb)
- [UvA-DLC](https://uvadlc.github.io/)
- [讲座视频](https://uvadlc.github.io/lectures-sep2018.html)
- [讲座视频](https://uvadlc.github.io/lectures-sep2018.html)
- [MLVU](https://mlvu.github.io/)
- [YouTube讲座](https://www.youtube.com/playlist?list=PLCof9EqayQgsORO3pFzeYZFz6cszYO0VJ)
- [EE-59](https://fleuret.org/ee559-2018/dlc)
- [视频讲座](https://fleuret.org/ee559-2018/dlc/#materials)
- [6.S191](http://introtodeeplearning.com/)
- [YouTube讲座](https://www.youtube.com/playlist?list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI)
- [2017版](https://www.youtube.com/playlist?list=PLkkuNyzb8LmxFutYuPA7B4oiMn6cjD6Rs)
- [6.S094](https://selfdrivingcars.mit.edu/)
- [YouTube讲座](https://www.youtube.com/playlist?list=PLrAXtmErZgOeiKm4sgNOknGvNjby9efdf)
- [11-485/785](http://deeplearning.cs.cmu.edu/)
- [YouTube讲座](https://www.youtube.com/playlist?list=PLp-0K3kfddPwJBJ4Q8We-0yNQEG0fZrSa)
- [11-485/785](http://deeplearning.cs.cmu.edu/)
- [YouTube讲座](https://www.youtube.com/playlist?list=PLp-0K3kfddPyH44FP0dl0CbYprvTcfgOI)
- [含习题课](https://www.youtube.com/playlist?list=PLLR0_ZOlbfD6KDBq93G8-guHI-J1ICeFm)
- [DL.AI](https://www.deeplearning.ai/deep-learning-specialization/)
- [YouTube讲座](https://www.youtube.com/channel/UCcIXc5mJsHVYTZR1maL5l9w/playlists)
- [STAT-946](https://uwaterloo.ca/data-analytics/teaching/deep-learning-2017)
- [YouTube讲座](https://www.youtube.com/playlist?list=PLehuLRPyt1HxTolYUWeyyIoxDabDmaOSB)
- [CS7015](https://www.cse.iitm.ac.in/~miteshk/CS7015.html)
- [YouTube讲座](https://www.youtube.com/playlist?list=PLyqSpQzTE6M9gCgajvQbc68Hk_JKGBAYT)
- [DLAI-2017](https://telecombcn-dl.github.io/2017-dlai/)
- [DLAI-2018](https://telecombcn-dl.github.io/2018-dlai/)
- [YouTube讲座](https://www.youtube.com/playlist?list=PL-5eMc3HQTBagIUjKefjcTbnXC0wXC_vd)
- [CS236605](https://vistalab-technion.github.io/cs236605/info/)
- [YouTube讲座](https://www.youtube.com/playlist?list=PLM0a6Z788YAZuqg2Ip-_dPLzEd33lZvP2)
- [6.S094, 6.S091, 6.S093](https://deeplearning.mit.edu/)
- [YouTube讲座](https://www.youtube.com/playlist?list=PLrAXtmErZgOeiKm4sgNOknGvNjby9efdf)
- [深度学习书籍幻灯片](https://www.deeplearningbook.org/lecture_slides.html)
- [YouTube讲座](https://www.youtube.com/playlist?list=PLsXu9MHQGs8df5A4PzQGw-kfviylC-R9b)
- [Stats-385](https://stats385.github.io/)
- [YouTube讲座](https://www.youtube.com/playlist?list=PLwUqqMt5en7fFLwSDa9V3JIkDam-WWgqy)
- [YouTube讲座](https://www.youtube.com/pla