#997 overall
6.012 Introduction to Probability
MIT OpenCourseWare
1 recommender · 1 thread · recommended in 1 year, 2019 · score 0.7
An introductory MIT course on probability theory, covering the fundamentals of probability as a discipline distinct from statistics. The OpenCourseWare version publishes lectures and course materials free online.
One commenter points to it as the place to go for actually learning probability, as opposed to the statistics-oriented material used in machine learning courses.
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20062026
Yes for linear algebra, though it's probably best suited to people with at least some exposure to matrix/vector math (for example you've used SVD but have no idea how or why it works): https://www.fast.ai/2017/07/17/num-lin-alg/
For probability, machine learning is more about statistics (the two are related, but courses explicitly about probability will cover different things), so I would lean towards that. An Introduction to Statistical Learning in R (ISLR) is a frequently recommended book. You can ignore the R and do the exercises in Python.
If you actually want to learn about probability, you can look at MIT's course: https://ocw.mit.edu/resources/res-6-012-introduction-to-prob...
EDIT: If you've never been exposed to calculus, many people swear by Khan Academy's videos.