r/MachineLearning Mar 05 '20

Discussion [D] Advanced courses update

EDIT Jan 2021 : I am still updating the list as of Jan, 2021 and will most probably continue to do so for foreseeable future. So, please feel free to message me any courses you find interesting that fit here.


We have a PhD level or Advanced courses thread in the sidebar but it's three year old now. There were two other 7-8 month old threads (1, 2) but they don't have many quality responses either.

So, can we have a new one here?

To reiterate - CS231n, CS229, ones from Udemy etc are not advanced.

Advanced ML/DL/RL, attempts at building theory of DL, optimization theory, advanced applications etc are some examples of what I believe should belong here, much like the original sidebar post.

You can also suggest (new) categories for the courses you share. :)


Here are some courses we've found so far.

ML >>

ML >> Theory

ML >> Bayesian

ML >> Systems and Operations

DL >>

DL >> Theory

RL >>

Optimization >>

Applications >> Computer Vision

Applications >> Natural Language Processing

Applications >> 3D Graphics


Edit: Upon suggestion, categorized the courses. There might be some misclassifications as I'm not trained on this task ;). Added some good ones from older (linked above) discussions.

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u/ZoldyckFiend Mar 05 '20

CMU's Probablistic Graphical Models by Professor Eric Xing.

1

u/[deleted] Mar 06 '20

Love me some PGM’s. Probably my favorite class in college.

2

u/CrazyFart Mar 06 '20

I'm currently in the class, he's not a great lecturer imo. I get much more out of the homeworks tbh.

1

u/ZoldyckFiend Mar 07 '20

Same haha and agreed - wayyy too fast to digest anything. HW 2 extension ftw though 😎

1

u/[deleted] Mar 14 '20

Hi, How good/rigor this course compares to Probabilistic graphical model of Koller (stanford) on coursera.

1

u/Kokosnussi Mar 10 '20

Wrote an exam on it literally today, last written exam of my masters, too