Statistical Machine Learning

Catalog description

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.