Machine learning has great potential for improving products, processes and research. But machine learning models usually do not explain their predictions which is a barrier to the adoption of machine learning.
In this seminar, we will learn about techniques to make machine learning models and their decisions interpretable
- Teacher: Bernd Bischl
- Teacher: Giuseppe Casalicchio
- Teacher: Gunnar König
- Teacher: Christoph Molnar
- Teacher: Florian Pfisterer
- Teacher: Christian Scholbeck