STAT 140B Statisical Learning

Slides

The following slides are adapted from the textbook Introduction to Statistical Learning and associated slides by James, Witten, Hastie, And Tibshirani.

Original RMarkdown files available upon request.

Chapter 2: Statistical Learning

• 2.1 What is Statistical Learning?
• 2.2 Assessing Model Accuracy

Chapter 3: Linear Regression

• 3.1 (Simple) Linear Regression
• 3.2 Multiple Linear Regression
• 3.3 Other Considerations in the Regression Model

Chapter 4: Classification

• 4.1 and 4.2 Introducing Classification
• 4.3 Logistic Regression
• 4.4 Generative Models for Classification
  • 4.4.1 Linear Discriminant Analysis for p = 1
  • 4.4.2 Linear Discriminant Analysis for p > 1
  • 4.4.3 Quadratic Discriminant Analysis
  • 4.4.4 Naive Bayes
• 4.6 Generalized Linear Models

Chapter 5: Resampling Methods

• 5.1 Cross-Validation
• 5.2 Bootstrap
  • (Thanks to Dr. James Flegal, UC Riverside, for some of the content in these!)