DATA 4610. Statistical Machine Learning I. 3 Hours.
Prerequisite: DATA 3700. Basics of statistical learning, bias-variance trade-off, review of topics related to multilinear models, resampling methods, model comparison, subset selection, shrinkage methods, generalized linear models, max-scaled and pseudo coefficient of determination, Pearson residuals, likelihood ratio tests.
