Oct 24, 2026  
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2026-2027 Catalog

MATH 295 - Math for Machine Learning (4)

Introduces the essential tools of calculus, linear algebra, probability, and statistics used in machine learning. Topics include numerical differentiation and integration, optimization, linear systems, distributions, and regression. Applications in machine learning are explored. Prerequisite: MATH 191 and CSCI 182 or 183 or 185, or permission of instructor. Spring.