CS 274A: Background Notes and Reading, Winter 2022

Note that the contents of this page may be updated periodically during the quarter.

Notes


General Background/Review Material on Probability :
Learning from Data using Maximum Likelihood

Bayesian Learning

Optimization Methods for Machine Learning

Regression Models

Probabilistic Classification

The EM Algorithm, Mixture Models, and Probabilistic Clustering

State-Space and Time-Series Models

Sampling Methods