MATH 564 Mathematical Foundations of Statistical Learning Theory
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Statistical learning fundamentals. Concentration inequalities. Probably approximately correct learning framework. Empirical risk minimization, Vapnik-Chervonenkis theory, Rademacher averages. Binary classification. Regression with quadratic loss. Applications in signal processing, information theory, and control theory.
Credit units: 3 ECTS Credit units: 5.
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