MATH 342

Mathematics for Machine Learning

Texas A&M University-Commerce · UGRD · Fall 2026

1 section

Catalog description

This course will introduce mathematical concepts from calculus, linear algebra and optimization required for Machine Learning. Basic Machine Learning concepts including, activation functions, loss function, weights, and popular learning methods such as gradient descend and the stochastic gradient descend methods will be introduced. Prerequisites: Linear Algebra- MATH 2318 and MATH 2413 -Calculus I with Min Grade of C.

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Class #texas_commerce-MATH342Fall 2026UGRD3 credits

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