MIT OpenCourseWare's probability and statistics course, delivered as a series of video lectures from MIT. It covers probability theory and statistical inference foundations used in machine learning and data science.

Commenters call the MIT lectures very in-depth and concise, and recommend them as foundational knowledge for machine learning work.

On Reddit (2)

1. Recommendsdepressed-benchr/ExperiencedDevs2023in “Senior developers are expected to be able to do machine learning”

   Brush up linear algebra, probability and statistics. MIT's ocw has great courses on this; this is foundational knowledge, just like algorithms and DS is for CS. Do the exercises and build some mathematical maturity. Then follow some of Stanford's ML courses.

2. RecommendsSnickypickletonr/learnmachinelearning2020in “Advice for Beginners in ML and Data Science”▲ 2

   Khan academy is a really excellent choice, it takes a much more traditionally academic approach than 3blue1brown, they're similar channels and I highly recommend them both. Between them you should be able to get a solid understanding of calculus and linear algebra. If you want to take things…

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