Modules Topics covered in this class

For any module not marked as “Coming Soon”, click on it to go to a page containing details.

Introduction

1. Introduction

Welcome to EE 645

Soft start: Linear methods

2. Soft start: Linear methods

Basics of linear models (focus on visualizations and logistic regression)

Kernel methods

3. Kernel methods

Kernel methods

High dimensional Gaussians

4. High dimensional Gaussians

High dimensional Gaussians and Gaussian Mixture models

Large Language Models

5. Large Language Models

Transformers and in-context learning

Learning Theory

6. Learning Theory

Learning Theory