University of Wisconsin Madison
Mathematical Foundations of Machine Learning (COMP SCI 761) Syllabus
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Mathematical Foundations of Machine Learning
COMP SCI 761 ( 3 Credits )
Description
Mathematical foundations of machine learning theory and algorithms. Probabilistic, algebraic, and geometric models and representations of data, mathematical analysis of state-of-the-art learning algorithms and optimization methods, and applications of machine learning. Students should have taken a course in statistics and a course in linear algebra (e.g., STAT 302 and MATH 341).
Prerequisite(s)
Graduate or professional standing
Department: COMPUTER SCIENCES
College: Letters and Science
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