New lectures

[Tathagata Ghosh]

1. Deep Learning for Computer Vision (Fall 2019)
   https://web.eecs.umich.edu/~justincj/teaching/eecs498/
   http://leccap.engin.umich.edu/leccap/site/jhygcph151x25gjj1f0

2. Designing, Visualizing and Understanding Deep Neural Networks (Spring 2020)
   https://bcourses.berkeley.edu/courses/1487769/pages/cs-l-w-182-slash-282a-designing-visualizing-and-understanding-deep-neural-networks-spring-2020
   https://www.youtube.com/playlist?list=PLkFD6_40KJIwaO6Eca8kzsEFBob0nFvwm

3. DEEP LEARNING (DS-GA 1008 · SPRING 2020)
   https://atcold.github.io/pytorch-Deep-Learning/
   https://www.youtube.com/playlist?list=PLLHTzKZzVU9eaEyErdV26ikyolxOsz6mq

4. CS165: Foundations of Machine Learning and Statistical Inference
   http://tensorlab.cms.caltech.edu/users/anima/cms165-2020.html
   https://www.youtube.com/user/msagopa/videos

[Mohamed Zahran]

5. CS 330: Deep Multi-Task and Meta-Learning
   https://cs330.stanford.edu/
   https://www.youtube.com/playlist?list=PLoROMvodv4rMC6zfYmnD7UG3LVvwaITY5

[Mohamed Zahran]

6. CS294-158-SP20 Deep Unsupervised Learning Spring 2020
   https://sites.google.com/view/berkeley-cs294-158-sp20/home
   https://www.youtube.com/playlist?list=PLwRJQ4m4UJjPiJP3691u-qWwPGVKzSlNP

[Mohamed Zahran]

7. CS 188 | Introduction to Artificial Intelligence
   https://inst.eecs.berkeley.edu/~cs188/fa18/
   https://www.youtube.com/playlist?list=PL7k0r4t5c108AZRwfW-FhnkZ0sCKBChLH

[Mohamed Zahran]

8. CS221: Artificial Intelligence: Principles and Techniques
   https://stanford-cs221.github.io/autumn2019/
   https://www.youtube.com/playlist?list=PLoROMvodv4rO1NB9TD4iUZ3qghGEGtqNX

9. CPSC 322: Introduction to Artificial Intelligence (UBC)
   https://www.youtube.com/playlist?list=PLDPnGbm0sUmpzvcGvktbz446SLdFbfZVU

[Mohamed Zahran]

10. Machine Learning 10-601, Spring 2015 Carnegie Mellon University
    http://www.cs.cmu.edu/~ninamf/courses/601sp15/lectures.shtml

11. Probabilistic Graphical Models Spring 2019 Carnegie Mellon University
    https://sailinglab.github.io/pgm-spring-2019/lectures/
    https://www.youtube.com/playlist?list=PLoZgVqqHOumTY2CAQHL45tQp6kmDnDcqn

12. Probabilistic Graphical Models Spring 2020 Carnegie Mellon University
    https://www.cs.cmu.edu/~epxing/Class/10708-20/lectures.html
    https://www.youtube.com/playlist?list=PLoZgVqqHOumTqxIhcdcpOAJOOimrRCGZn

13. 11-785 Introduction to Deep Learning Spring 2020 Carnegie Mellon University
    https://deeplearning.cs.cmu.edu/
    https://www.youtube.com/playlist?list=PLp-0K3kfddPzCnS4CqKphh-zT3aDwybDe

14. 11-785 Introduction to Deep Learning Spring 2019 Carnegie Mellon University
    https://www.cs.cmu.edu/~bhiksha/courses/deeplearning/Spring.2019/www/
    https://www.youtube.com/playlist?list=PLp-0K3kfddPwz13VqV1PaMXF6V6dYdEsj

15. Convex Optimization: Fall 2018 Carnegie Mellon University
    https://www.stat.cmu.edu/~ryantibs/convexopt-F18/

16. Convex Optimization: Fall 2015 Carnegie Mellon University
    stat.cmu.edu/~ryantibs/convexopt-F15/

17. Convex Optimization: Spring 2015 Carnegie Mellon University
    https://www.stat.cmu.edu/~ryantibs/convexopt-S15/

18. Convex Optimization: Fall 2016 Carnegie Mellon University
    https://www.stat.cmu.edu/~ryantibs/convexopt-F16/

19. Statistical Machine Learning: Spring 2017
    https://www.stat.cmu.edu/~ryantibs/statml/

20. 10-725 Optimization Fall 2012 Carnegie Mellon University
    https://www.youtube.com/playlist?list=PL7y-1rk2cCsDOv91McLOnV4kExFfTB7dU

21. 10-606 and 10-607 Math Background for ML, Fall 2017
    https://canvas.cmu.edu/courses/603/assignments/syllabus
    https://www.youtube.com/playlist?list=PL7y-1rk2cCsAqRtWoZ95z-GMcecVG5mzA

22. Advanced Introduction to Machine Learning 10-715 Carnegie Mellon University
    https://www.cs.cmu.edu/~bapoczos/Classes/ML10715_2015Fall/
    https://www.youtube.com/playlist?list=PL4YhK0pT0ZhWBzSBkMGzpnPw6sf6Ma0IX

[Mohamed Zahran]

23. 15-780 Graduate Artificial Intelligence | CMU
    https://www.youtube.com/playlist?list=PL_Ig1a5kxu55zgIn3Tb5Pc5C62Yo2sYHf
    http://www.cs.cmu.edu/~arielpro/15780s18/index.html

24. CMU 10-605 Machine Learning With Large Datasets
    https://www.youtube.com/playlist?list=PLnfBqXRW5MRhPtfkadfwQ0VcuSi2IwEcW

[Mario]

1. Deep Learning for Computer Vision (Fall 2019)
   https://web.eecs.umich.edu/~justincj/teaching/eecs498/
   http://leccap.engin.umich.edu/leccap/site/jhygcph151x25gjj1f0
2. Designing, Visualizing and Understanding Deep Neural Networks (Spring 2020)
   https://bcourses.berkeley.edu/courses/1487769/pages/cs-l-w-182-slash-282a-designing-visualizing-and-understanding-deep-neural-networks-spring-2020
   https://www.youtube.com/playlist?list=PLkFD6_40KJIwaO6Eca8kzsEFBob0nFvwm
3. DEEP LEARNING (DS-GA 1008 · SPRING 2020)
   https://atcold.github.io/pytorch-Deep-Learning/
   https://www.youtube.com/playlist?list=PLLHTzKZzVU9eaEyErdV26ikyolxOsz6mq
4. CS165: Foundations of Machine Learning and Statistical Inference
   http://tensorlab.cms.caltech.edu/users/anima/cms165-2020.html
   https://www.youtube.com/user/msagopa/videos

@tathatj thanks a bunch!! Updated all of these. I've been traveling, hence the delay.

[Mario]

1. Machine Learning 10-601, Spring 2015 Carnegie Mellon University
   http://www.cs.cmu.edu/~ninamf/courses/601sp15/lectures.shtml
2. Probabilistic Graphical Models Spring 2019 Carnegie Mellon University
   https://sailinglab.github.io/pgm-spring-2019/lectures/
   https://www.youtube.com/playlist?list=PLoZgVqqHOumTY2CAQHL45tQp6kmDnDcqn
3. Probabilistic Graphical Models Spring 2020 Carnegie Mellon University
   https://www.cs.cmu.edu/~epxing/Class/10708-20/lectures.html
   https://www.youtube.com/playlist?list=PLoZgVqqHOumTqxIhcdcpOAJOOimrRCGZn
4. 11-785 Introduction to Deep Learning Spring 2020 Carnegie Mellon University
   https://deeplearning.cs.cmu.edu/
   https://www.youtube.com/playlist?list=PLp-0K3kfddPzCnS4CqKphh-zT3aDwybDe
5. 11-785 Introduction to Deep Learning Spring 2019 Carnegie Mellon University
   https://www.cs.cmu.edu/~bhiksha/courses/deeplearning/Spring.2019/www/
   https://www.youtube.com/playlist?list=PLp-0K3kfddPwz13VqV1PaMXF6V6dYdEsj
6. Convex Optimization: Fall 2018 Carnegie Mellon University
   https://www.stat.cmu.edu/~ryantibs/convexopt-F18/
7. Convex Optimization: Fall 2015 Carnegie Mellon University
   stat.cmu.edu/~ryantibs/convexopt-F15/
8. Convex Optimization: Spring 2015 Carnegie Mellon University
   https://www.stat.cmu.edu/~ryantibs/convexopt-S15/
9. Convex Optimization: Fall 2016 Carnegie Mellon University
   https://www.stat.cmu.edu/~ryantibs/convexopt-F16/
10. Statistical Machine Learning: Spring 2017
    https://www.stat.cmu.edu/~ryantibs/statml/
11. 10-725 Optimization Fall 2012 Carnegie Mellon University
    https://www.youtube.com/playlist?list=PL7y-1rk2cCsDOv91McLOnV4kExFfTB7dU
12. 10-606 and 10-607 Math Background for ML, Fall 2017
    https://canvas.cmu.edu/courses/603/assignments/syllabus
    https://www.youtube.com/playlist?list=PL7y-1rk2cCsAqRtWoZ95z-GMcecVG5mzA
13. Advanced Introduction to Machine Learning 10-715 Carnegie Mellon University
    https://www.cs.cmu.edu/~bapoczos/Classes/ML10715_2015Fall/
    https://www.youtube.com/playlist?list=PL4YhK0pT0ZhWBzSBkMGzpnPw6sf6Ma0IX

Hey @mo-zahran, thanks a lot for putting effort with this!! Really appreciated :) I have added all of these except for general AI courses. Since I was unsure about the category, I've left it for now..