CS189

CS 189 at UC Berkeley

Introduction to Machine Learning

Lectures: 5-6:30 pm Tu-Th in Pimentel 1 (Berkeley Academic Guide page)

Jennifer Listgarten

Make private Piazza post before emailing.

Office Hours: (see calendar)

Stella Yu

Make private Piazza post before emailing.

Office Hours: (see calendar)

Week 0 Overview

Linear Regression, Features, Hyperparameters and Cross-Validation

Week 1 Overview

Features, Linear Regression, Regularization, Hyperparameters and Cross-Validation

Week 2 Overview

MLE, MAP, Bias-Variance Tradeoff

Week 3 Overview

Weighted LS, MVN, Kernels

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 and homework scores are rescaled such that 80% is full credit, but this drop should be reserved for emergencies. See Syllabus for more information.

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Lecture Slides

See Syllabus for more information.

  • Slides 8/29 (pdf) (pdf)
  • Slides 9/3 (pdf)
  • Slides 9/5 (pdf)
  • Slides 9/10
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