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
- Profesor: Bernd Bischl
- Profesor: Giuseppe Casalicchio
- Profesor: Gunnar König
- Profesor: Christoph Molnar
- Profesor: Florian Pfisterer
- Profesor: Christian Scholbeck