The tutorials start in the second week. There will be no tutorial on Sep 4.
Machine learning studies how to enable machines to learn from data and experience, e.g., in order to make predictions or extract knowledge from data. The aim of this module is to study algorithms, underlying concepts, and theoretic principles in machine learning. The course focuses on selected „hot topics“ and their applications, which include:
Lecture notes, exercises, assignments, and supplementary material can be found in ILIAS.