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

Week 4 Overview

Weighted LS, Kernels, PCA

Week 5 Overview

PCA, Total LS, CCA

Week 6 Overview

PCA, Total LS, CCA

Week 7 Overview

Midterm Review

Week 8 Overview

Non-linear LS, Gradient Descent, Neural Nets

Week 9 Overview

Classification, Logistic Regression, SVM, NNs, LDA

Week 10 Overview

K-Means, GMMs, EM, ROC Curves

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 (pdf)
  • Slides 9/12 (pdf)
  • Slides 9/17 (pdf)
  • Slides 9/19 (pdf)
  • Slides 9/24 (pdf)
  • Slides 9/26 (pdf)
  • Slides 10/1 (pdf)
  • Slides 10/3 (pdf)
  • Slides 10/8 (pdf)
  • Slides 10/10 (Power Outage)
  • Slides 10/15 (pdf)
  • Slides 10/17 (Midterm)
  • Slides 10/22
  • Slides 10/24
  • Slides 10/29
  • Slides 10/31
  • Slides 11/5
  • Slides 11/7
  • Slides 11/12
  • Slides 11/14
  • Slides 11/19
  • Slides 11/21
  • Slides 11/26
  • Slides 11/28 (Thanksgiving)
  • Slides 12/3
  • Slides 12/5
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