The field of machine learning constitutes a modern approach to artificial intelligence. It is situated in between neuroscience, statistics, robotics, and areas of application ranging all over science and engineering, medicine, economics, and many more. Machine learning algorithms automate the process of learning, thus allowing prediction and decision making machines to improve with experience.

This lecture will cover different state-of-the-art methods in the domain of "supervised learning". Topics include classical statistical methods, neural networks, support vector machines, and nearest neighbor models. The lecture covers algorithmic as well as learning theoretical aspects.

The 2 hours/week lecture is accompanied by a 2 hours/week practical course. It will be held either in German or in English, depending on the audience. Most of the course material will be in English.

Course type

Lectures

Credits

6 CP

Term

Summer Term 2015

Lecture

Takes place every week on Monday from 10:00 to 12:00 in room NB 3/72.
First appointment is on 13.04.2015

Exercise

Takes place every week on Thursday from 12:00 to 14:00 in room NB 3/72.
First appointment is on 16.04.2015

The course is designed for Master students of the Angewandte Informatik program. The lecture "Mathematics for Modeling and Data Analysis" is recommended as a background.