Summer Semester 2022
Statistical Pattern Recognition - Taught by Prof. Dr. Thomas Brox
Literature - Pattern Recognition by C. Bishop
Image Processing & Computer Graphics - Taught by Prof. Dr. Thomas Brox & Prof. Dr. Matthias Teschner
Literature - Read the Papers :)
Foundations of Artificial Intelligence - Taught by Prof. Dr. Frank Hutter, Prof. Dr. Joschka Boedecker
Literature - Artificial Intelligence, A Modern Approach by S. Russel and P. Norvig
Winter Semester 2022-23
Literature - Pattern Recognition by C. Bishop | Machine Learning: A Probabilistic Perspective by Kevin P. Murphy
Literature - Deep Learning by Aaron Courville, Ian Goodfellow, and Yoshua Bengio
Computer Vision - Taught by Prof. Dr. Thomas Brox
Literature - Read the Papers :)
Reinforcement Learning - Taught by Prof. Dr. Joschka Boedecker | Extras
Literature - Reinforcement Learning: An Introduction by Andrew Barto and Richard S. Sutton
Summer Semester 2023
Automated Machine Learning - Taught by Prof. Dr. Frank Hutter
Literature - Check out the amazing book on AutoML (you don't need any other material explicitly)
Additional Notes
Machine Learning - Taught by Andrew Ng
Deep Learning - Taught by Rajeev Ratan & Krish Naik
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