List of Courses for the Master ML in the Wintersemester 2020/2021 (Foundations of ML and Diverse Topics in ML)
Foundations of Machine Learning | Lecturer |
Deep Learning | Geiger |
Diverse Topics in Machine Learning - Lectures | |
Data Literacy | Hennig |
Mathematics for Machine Learning | Luxburg |
Convex and nonconvex Optimization | Hein |
Medical Data Science | Pfeifer |
Kasneci | |
Reinforcement Learning | Martius |
Time Series | Tronarp |
Introduction to Game Theory with Application to Multi-Agent Systems | Maghsudi |
Diverse Topics in Machine Learning - Seminars | |
Advanced Artifical Neural Nets | Butz |
Advanced Topics in Computer Graphics and Computer Vision | Lensch |
Optimization in Deep Neural Networks | Zell |
Eggeling/Pfeifer | |
Explainable Machine Learning | Akata |
Machine Learning Methods for Scientific Discovery | Macke |
Machine Learning and Artificial Neural Networks in Biomedical Applications | Nagel |
Diverse Topics in Machine Learning - Practical Sessions | |
Mobile Robots (in English) | Zell |
General Computer Science - Lectures (incomplete) | |
Foundations of Robotics (in English) | Zell |
Artificial Intelligence (in English) | Zell |
The lectures where there is a note "in English" have a German title on the webpage but are given in English. All other lectures are in English anyway.
Course lists of previous semesters: