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