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Nov 25, 2024
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MATH 440 Statistical Learning I (3)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
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