After successful completion of the course, students are able to:
The seminar is on selected theoretical aspects of machine learning algorithms, such as their computational complexity and learning theoretic error bounds.
Students read original papers, perform literature research for related work and discuss their findiungs in their group. They create presentation slides and receive feedback. They write their seminar paper using LaTeX and learn how to use bibliography management tools. Two scientific reviews are written according to a template and guidelines. Research discussions take place in groups of several students and their advisors.