This past quarter I took UCLA’s CSM146 - Introduction to Machine Learning, taught by Professor Sriram Sankararaman. Aside from the materials used in class, I found a couple of online resources helpful when studying some intro ML concepts and wanted to share them here.

This will probably just be a general list of all ML resources I find useful.

Principle Component Analysis (PCA)

Super cool Stack Exchange post

Gaussian Mixture Models and the Expectation Maximization Algorithm

brilliant.org

Viterbi Algorithm (Hidden Markov Models)

Cool blog post