CS 189 at UC Berkeley

Introduction to Machine Learning

Lectures: 9:30 - 11 am Tu-Th in Li Ka Shing 245

Instructor Benjamin Recht

brecht [at] berkeley.edu

Office Hours:

Instructor Moritz Hardt

hardt [at] berkeley.edu

Office Hours:

Instructor Stella Yu

stellayu [at] berkeley.edu

Office Hours: M 9:30-10:30am (Soda 329)

Week 0 Overview

Linear Regression, Features, Hyperparameters and Cross-Validation


See Syllabus for more information. You can find a list of week-by-week topics. Notes are not a substitute for going to lecture, as additional material may be covered in lecture. Notes are from a previous iteration of the course and may not be comprehensive. Refer to lectures.



The discussion sections may cover new material and will give you additional practice solving problems. You can attend any discussion section you like. See Syllabus for more information.



All homeworks are fully graded. Your lowest homework score will be dropped, but this drop should be reserved for emergencies. See Syllabus for more information.