CS 189/289A

Welcome to CS 189/289A! This is an unofficial course website managed by TAs, meant to help you access course resources more easily. If you see any discrepancies between this and the official website, you should default to the information on the official one instead.

CS 189/289A at UC Berkeley

Introduction to Machine Learning

Lectures: Mon/Wed 6:30-8 p.m., Wheeler 150

See the full list of course staff (including TAs and Readers) here.

Week 0 Overview

Introduction: Classification, Training, Validation and Testing

Week 7 Overview

Ridge Regression and Lasso, Decision Tree Basics

Week 8 Overview

Midterm, More Decision Trees

Week 9 Overview

Spring Break

Week 12 Overview

Unsupervised Learning: PCA and SVD, Clustering

Week 13 Overview

Spectral Graph Theory, High-Dimensional Spaces

Week 14 Overview

AdaBoost, Nearest Neighbors and k-NN

Lecture Notes