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Published 20 hours ago • verified publisher icon dkirkby

Add reference links

Open dkirkby opened this issue 4 years ago • 7 comments

Add useful links here that should be included in the notebooks...

dkirkby avatar Aug 17 '20 15:08 dkirkby

http://www.r2d3.us/visual-intro-to-machine-learning-part-1/ has great visualizations of the general ML setup and concepts and decision trees in particular.

dkirkby avatar Aug 17 '20 15:08 dkirkby

Simpson's paradox https://pwacker.com/simpson.html

dkirkby avatar Sep 24 '20 16:09 dkirkby

Humorous video related to gradient descent (or, equally, grad student desecent): https://www.youtube.com/watch?v=cvuktushEhY

dkirkby avatar Sep 24 '20 16:09 dkirkby

Review these lecture notes on ML for Physicists: https://sites.krieger.jhu.edu/jared-kaplan/files/2019/04/ContemporaryMLforPhysicists.pdf

dkirkby avatar Sep 24 '20 17:09 dkirkby

Recorded seminars:

  • LBL DL4Sci 2019 school: https://www.youtube.com/playlist?list=PL20S5EeApOSvfvEyhCPOUzU7zkBcR5-eL
  • LBL DL4Sci 2020 school:
    • https://dl4sci-school.lbl.gov/agenda
    • https://www.youtube.com/playlist?list=PL20S5EeApOSuFC7PhHtCWtCsqpNKXM64Q
  • ML Club: https://docs.google.com/document/u/1/d/1GGtE-YIuAWlmpKSr38_kyiF-Fklszhkh4FkiYWzBAho/pub

dkirkby avatar Sep 28 '20 17:09 dkirkby

Deep double descent:

  • https://openai.com/blog/deep-double-descent/
  • https://arxiv.org/abs/1912.02292

dkirkby avatar Jan 25 '21 19:01 dkirkby

Google ML Crash Course https://developers.google.com/machine-learning/crash-course/ml-intro

dkirkby avatar May 07 '21 19:05 dkirkby