Chapter 08.01: Unsupervised Learning

This subchapter provides an overview of unsupervised learning, focusing on discovering patterns and structures within unlabeled data. Key topics include clustering, dimensionality reduction, feature extraction, and generative modeling, each demonstrating different ways to learn and represent underlying data structures.

Lecture slides