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Statistical Learning

  • 7.5 credits

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.
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