The goal is to enable the students to understand the fundamental statistical machine learning algorithms for diverse datasets. To this end, the theory of these algorithms is developed in the lectures and during the practice sessions, many such data sets are analyzed.
The module is based on the excellent and freely available book: "An Introduction to Statistical Learning" by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani. This book has also a useful website http://www-bcf.usc.edu/~gareth/ISL/
Diese Beschreibung ist rechtlich nicht verbindlich! Weitere Informationen finden Sie in der detaillierten Modulbeschreibung.