Mathematical Foundations of Machine Learning (COMP SCI 761) Syllabus
Course Learning Outcomes
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Mathematical Foundations of Machine Learning
COMP SCI 761
( 3 Credits )
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).
Graduate or professional standing
Department: COMPUTER SCIENCES College: Letters and Science