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