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Computer Science
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: Spring 2026
Prerequisite: CS 470 with a grade of C or better
Computer Science
Term : Summer 2025
Catalog Year : 2024-2025
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: Spring 2026
Prerequisite: CS 470 with a grade of C or better