The course treats basic principles and methods of statistical learning, classification and prediction. As part thereof discriminant analysis, cross validation, regularization through shrinkage and smoothing, decision- and regression trees, and support vector machines are studied.
Further course information will appear soon on this page. Until then, information can be found on the
department website.
