Course List for the Summersemester 2021
Foundations of Machine Learning | Lecturer |
Hennig | |
Hein | |
Diverse Topics in Machine Learning - Lectures | |
Geiger | |
Advanced Probabilistic methods for Machine Learning and Applications | De Bacco |
Machine Learning Approaches in Climate Science | Goswami |
Neural Data Analysis | Berens |
Mobile Robots | Zell |
Introduction to Formal Epistemology and Ranking Theory in Particular | Spohn |
Efficient Machine Learning in Hardware | Bringmann |
Artificial Neural Networks II - “Recurrent and Generative Artificial Neural Networks” | Butz |
Data Compression with Deep Probabilistic Methods | Bamler |
Diverse Topics in Machine Learning - Seminars | |
Machine Learning for Health | Pfeifer |
Machine Learning Methods for Scientific Discovery | Macke |
Machine Learning and Artificial Neural Networks in Biomedical Applications | Nagel |
Hennig | |
Fairness in Machine Learning | Samadi, Grote, Hennig |
Advanced Topics in Data Science and Analytics : Explainable and Fair Analytics | Kasneci |
Deep Learning for Vision and Graphics | Pons Moll |
Previous semesters: