Focuses on statistical models for supervised learning problems. Will cover linear methods for regression and classification. Model selection, bias-variance tradeoff, subset selection and shrinkage methods are discussed.
Cross-listed: (Same as Statistics 615.)

Comment(s): Or permission of instructor.
Registration Restriction(s): Minimum student level – graduate.

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