CS189

CS 189 at UC Berkeley

Introduction to Machine Learning

Lectures: 2-3:30 pm Mon-Wed online (Berkeley Academic Guide page)

Anant Sahai

Make private Piazza post before emailing.

Office Hours: (see calendar)

Jennifer Listgarten

Make private Piazza post before emailing.

Office Hours: (see calendar)

Jitendra Malik

Make private Piazza post before emailing.

Office Hours: (see calendar)

Week 0 Overview

Welcome and Introduction

Wednesday, August 26 - Friday, August 28

Week 1 Overview

Foundations: Regression, Classification, and Learning & Features and Regularization

Monday, August 31 - Friday, September 4

Week 2 Overview

Foundations: Validation and Generalization

Tuesday, September 8 - Friday, September 11

Week 3 Overview

Foundations: The probability perspective & Core tradeoffs

Monday, September 14 - Friday, September 18

Week 4 Overview

Foundations: Kernel perspective & The nearest-neighbor perspective

Monday, September 21 - Friday, September 25

Week 5 Overview

Foundations: Core tradeoffs revisited --- a unified view of under- and over-parameterized learning & Eigenspace perspectives

Monday, September 28 - Friday, October 2

Week 6 Overview

Foundations: Dimensionality reduction and latent spaces & Feature selection and the role of sparsity

Monday, October 5 - Friday, October 9

Week 7 Overview

Gradient descent and its role & Beyond linear models: neural networks

Monday, October 12 - Friday, October 16

Week 8 Overview

Stochastic gradient descent & Natural losses for classification

Monday, October 19 - Friday, October 23

Week 9 Overview

Generative approaches to classification & Clustering: basics

Monday, October 26 - Friday, October 30

Week 10 Overview

Clustering: Mixture models & Margin in classification

Monday, November 2 - Friday, November 6

Week 11 Overview

Support vector machines

Monday, November 9 - Friday, November 13

Week 12 Overview

Decision Trees & Ensembles and Boosting

Monday, November 16 - Friday, November 20

Week 13 Overview

Deep neural networks

Monday, November 23 - Wednesday, November 25

Notes

See Syllabus for more information.

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Discussions

The discussion sections may cover new material and will give you additional practice solving problems. You should attend the discussion that you will be assigned to with your study group, and details about this will be made available on the course Piazza. See Syllabus for more information.

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Homeworks

Your two lowest homework scores will be dropped and homework scores are rescaled such that 60% is full credit, but these drop should be reserved for emergencies. See Syllabus for more information.

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Lecture Slides

See Syllabus for more information.

  • Slides 8/26 (pdf)
  • Slides 8/31 (pdf)
  • Slides 9/2 (pdf)
  • Slides 9/9 (pdf)
  • Slides 9/14 (pdf)
  • Slides 9/16 (pdf)
  • Slides 9/18 (pdf)
  • Slides 9/21 (pdf)
  • Slides 9/23 (UPDATED) (pdf)
  • Slides 9/28 (Slides) (pdf)
  • Slides 9/28 (Notes) (pdf)
  • Slides 9/30 (Slides) (pdf)
  • Slides 9/30 (Notes) (pdf)
  • Slides 10/5 (Notes) (pdf)
  • Slides Backprop (10/12) (pdf)
  • Slides 10/12 (pdf)
  • Slides SGD Notes (10/14) (pdf)
  • Slides 10/14 (pdf)
  • Slides 10/19 (pdf)
  • Slides 10/21 (pdf)
  • Slides 10/26 (Slides) (pdf)
  • Slides 10/26 (Lecture Video) (pdf)
  • Slides 10/28 (Slides) (pdf)
  • Slides 10/28 (Video) (pdf)
  • Slides 11/2 (Slides) (pdf)
  • Slides 11/2 (Video) (pdf)
  • Slides 11/4 (Slides) (pdf)
  • Slides 11/4 (Video) (pdf)
  • Slides 11/9 (Slides) (pdf)
  • Slides 11/9 (Video) (pdf)
  • Slides 11/16 (Slides) (pdf)
  • Slides 11/16 (Video) (pdf)
  • Slides 11/18 (Slides) (pdf)
  • Slides 11/18 (Video) (pdf)
  • Slides 11/23 (Slides) (pdf)
  • Slides 11/23 (Video) (pdf)
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