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Jul 14, 2026
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2025-2026 Undergraduate Catalog ARCHIVED CATALOG: CONTENT MAY NOT BE CURRENT. USE THE DROP DOWN ABOVE TO ACCESS THE CURRENT CATALOG.
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CS 422 - Introduction to Machine Learning
This course covers various machine learning algorithms for regression, classification, clustering and ensemble learning. Students will learn applying machine learning techniques to solve challenging problems in various fields. Crosslisted with CS 622. Credit at the 600-level requires additional work.
Credits: 3
Prerequisites: STAT 411 or STAT 463 and minimum grade of C in CS 302 . The maximum number of attempts for this course is three, including earned grades, withdrawals, and audits.
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