#1013 overall
Math background for ML
YouTube
1 recommender · 1 thread · recommended in 1 year, 2018 · score 0.7
A YouTube playlist of math background material meant to prepare learners for machine learning, tied to a CMU ML course's prerequisite list. It covers the linear algebra and related math an ML course assumes.
Commenters point to it as a free way to fill in the math prerequisites before taking a more rigorous ML course.
Recommendations by year
20062026
There's a practical course for this http://www.datasciencecourse.org/lectures/ anything you don't know, like linear algebra, look up the topics here for a 1-2hr crash course https://www.youtube.com/playlist?list=PLm3J0oaFux3aafQm568bl...
There's a playlist for a math background in ML for anybody who wants to try a more rigorous ML course https://www.youtube.com/playlist?list=PL7y-1rk2cCsA339crwXMW... More information, including recommended texts https://canvas.cmu.edu/courses/603/assignments/syllabus but don't let that list of prereqs discourage you, can easily look them up directly. You don't have to understand all of Linear Algebra to do matrix multiplication. There's plenty of ML books, papers and playlists on youtube for a full course in ML from dozens of universities https://www.cs.cmu.edu/~roni/10601/ (click on 2017 lectures)
Note never trust YouTube or any other resource to be around forever, make sure you archive everything before you start taking it as lectures tend to disappear (then seed them for others ^^ )
If you have a really weak background go through this free book, refuse to not be able to complete it https://infinitedescent.xyz/
There's no answers because the author gives thanks to a grad course in evidenced based teaching where he claims the only way to really know something and remember it is to figure it out for yourself. Math stackexchange can help too.