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This course provides an introduction to various approaches to statistical learning including empirical processes, classification and clustering, nonparametric density estimation and regression, model selection and adaptive procedures, bootstrapping and cross-validation. Prerequisite(s):MATH 203 and MATH 350 Course Frequency: Fall