#1009 overall
Probability
MIT OpenCourseWare
1 recommender · 1 thread · recommended in 1 year, 2018 · score 0.7
MIT OpenCourseWare's probability course, covering the foundations of probability theory such as random variables, distributions, and expectation. It is the undergraduate probability course from MIT's open materials.
One commenter used it while relearning college math after years away, alongside MIT OCW's linear algebra and calculus courses, before starting machine learning.
Mathematicsintermediatefreevideo lectures#probability#random variables#distributions#expectation#mit ocw
Recommendations by year
20062026
Machine Learning.
In 2018 I went from "zero to sixty", so to speak. At the beginning of the year I knew nothing about ML, and my math skills had gotten so rusty I couldn't even remember how to do simple derivatives or multiply two matrices.
In the first half of 2018 I relearned the college math that I had forgotten by working through MIT OCW's Linear Algebra, Calculus, and Probability courses.
In the Fall, I enrolled in Carnegie Mellon's 10-601 course, graduate "Introduction to Machine Learning". It was hard, it was a ton of work, but I did well and it was completely worth it as I now have a solid understanding of the basics of the field and can continue studying this upcoming year and into the future.