CS 274A: Background Notes and Reading

Some of the class notes below may be updated during the quarter - if this happens it will be announced on Ed.

Class Notes


Background/Review Material on Probability
Conditional Independence and Graphical Models
Learning from Data using Maximum Likelihood

Bayesian Learning

Optimization Methods for Machine Learning

Regression Models

Classification

The EM Algorithm, Mixture Models, and Probabilistic Clustering

State-Space and Time-Series Models