IE 5200 — Mathematics for Machine Learning
4 semester hours Graduate Lecture
Covers mathematical concepts essential for understanding machine learning algorithms. Builds foundational knowledge in linear algebra, analytic geometry, matrix decompositions, probability, optimization, and specific models such as Gaussian mixture models.
Prerequisites one of: one of: graduate program admission Unlocks IE 7300
Courses that list IE 5200 in their prerequisites.
Links Official catalog (IE course descriptions) · All IE courses · Plan it at numap.app
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Data updated Sep 2026 · page generated 2026-09-10.