The course will be held digitally. Details are discussed in the kickoff lecture on Oct 1, 12:00–13:30, in WIM-ZOOM-09.
Machine learning is concerned with building computer systems that improve with experience as well as the study of learning processes, including the design of algorithms that are able to make predictions or extract knowledge from data. The aim of this module is to provide an introduction into the field of machine learning, and study algorithms, underlying concepts, and theoretical principles.
More advanced topics are covered in the follow up course “IE 674 Hot Topics in Machine Learning”.
Lecture recordings, lecture notes, exercises, assignments, and supplementary material can be found in ILIAS.