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