Computer Science
CS 472 - Unsupervised Machine Learning
Description: Machine Learning and Artificial Intelligence have become ubiquitous parts of modern society. This course, an extension of CS470, explores the topic of unsupervised learning - when data may not be labeled to support supervised learning methods. Such topics include clustering, Gaussian mixture models, change point detection, and dimensional reduction. Co-convened with CS 572. Letter grade only.
Units:
3
Sections offered:
Fall 2026
Requirement Designation:
Prerequisite: CS 470 with a grade of C or better