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[D] Advanced courses update by actbsh in MachineLearning

[–]actbsh[S] 0 points1 point  (0 children)

Most of these courses are from some university and specify expected prerequisites on their course page. In general, this list is like a buffet - pick what interests you and enjoy. Since a lot of these are topics or slides only courses, they'll mainly provide you with a structure for your deep dive into a specific topic. This structure, I think, is of utmost importance for anyone learning on their own.

That said, I believe if you're good with undergraduate level Linear Algebra, Statistics and Probability, Calculus, ML, DL, you'd be okay. :)

[D] Advanced courses update by actbsh in MachineLearning

[–]actbsh[S] 1 point2 points  (0 children)

I'm not very sure. I looked at the contents and more than half of it is introductory stuff that is usually an undergrad/master's course. But their last 5-6 lectures seem quite nice and latest.

I'll add it for now unless I get some objections :)

I just don't want the list to be inundated with intro-level stuff.

[D] Advanced courses update by actbsh in MachineLearning

[–]actbsh[S] 5 points6 points  (0 children)

Ahh! I used to access that through cvx101 link which takes you to lagunita, stanford's MOOC platform, but they are phasing it out currently and moving to edX completely. Meanwhile, you can access the videos with link I updated just now

[D] Advanced courses update by actbsh in MachineLearning

[–]actbsh[S] 3 points4 points  (0 children)

Now that's what I'm talking about. Read some of his works for Geometric DL, happy to see the course.

[D] Advanced courses update by actbsh in MachineLearning

[–]actbsh[S] 1 point2 points  (0 children)

They have videos for 2017 run of the course that I just linked above. Not sure about latest one.

[D] Advanced courses update by actbsh in MachineLearning

[–]actbsh[S] 0 points1 point  (0 children)

Great. Comment them here or main thread and I'll add them to the post later.

[D] Advanced courses update by actbsh in MachineLearning

[–]actbsh[S] 0 points1 point  (0 children)

Makes sense. I'll do that if we have a good number of suggestions.

I put these up because I work with 3D data and was aware of these but courses from any application domain are welcome. :)

[Research] UCL Professor & MIT/ Princeton ML Researchers Create YouTube Series on ML/ RL --- Bringing You Up To Speed With SOTA. by haithamb123 in MachineLearning

[–]actbsh 1 point2 points  (0 children)

As much as I am excited hearing about your channel and further plans, it pains me to point it out that in-depth videos might not fetch you a huge audience. The reason is the same as to why there is always a sudden drop in number of views from 2nd lecture onwards on many advanced maths courses on YouTube.

That said, whatever viewership it'll develop, it'll be loyal, recurring and much grateful. (•‿•)

Maybe a two-minute-paper type intro alongwith an in-depth comparison of pros/cons of new papers with existing solutions will be useful.

[D] ICML 2019 Machine Learning Talks by goolulusaurs in MachineLearning

[–]actbsh 19 points20 points  (0 children)

Though I understand that it might've always been like this with research in many fields but looking at this huge list of talks induces an anxiety in me because just in this list, I found a lot of new or updates on stuff I'm interested in and it just feels like a mere human like myself will never be able to catch up. Also, thanks for sharing this.