MAT 758 - Statistical Machine Learning

College of Arts and Sciences
3 credit(s) Irregularly

Topics in machine learning from statistical and probabilistic perspective: prediction errors and cross validation, bias-variance trade-off, regularized regression, variable selection, nonparametric regression and classification, bootstrap, trees-based methods, neural network, and other advanced topics.
PREREQ: MAT 521, 525, and 651, or permission from the instructor