CS189

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

Monday, June 18 - Friday, June 22

Notes

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.

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Discussions

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.

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Homeworks

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.

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