CS189

Please check the Syllabus page for important course information.

CS 189/289A at UC Berkeley

Introduction to Machine Learning

Lectures: Tuesday, Thursday 2-3:30 pm in Li Ka Shing 245 (Berkeley Academic Guide page)

Jennifer Listgarten

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Office Hours: 3:30pm After Lectures

Jitendra Malik

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Office Hours: 3:30pm After Lectures

Week 1 Overview

Welcome and Introduction

Week 2 Overview

Maximum Likelihood Estimation

Week 3 Overview

Linear Regression

Week 4 Overview

Classification

Week 5 Overview

Gradient Descent and Backpropagation

Week 6 Overview

Evaluating Models

Week 7 Overview

Dimensionality Reduction

Week 8 Overview

Clustering

Week 9 Overview

Decision Trees

Week 10 Overview

Convolutional Neural Networks and Vision

Week 11 Overview

Transformers and Natural Language Processing

Week 12 Overview

Graph Neural Networks and Computational Biology

Week 13 Overview

Hidden Markov Models and Graphical Models

Week 14 Overview

Reinforcement Learning

Week 15 Overview

Robotics and Causality

Lecture Slides and Videos

  • 8/25: Welcome and Introduction
    (slides) (slides)
  • 8/30: Maximum Likelihood Estimation
    (slides)
  • 9/1: Multivariate Gaussians
    (slides)
  • 9/6: Linear Regression I
    (slides)
  • 9/8: Linear Regression II
    (slides)
  • 9/13: Logistic Regression I
    (slides)
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