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
- Trainer/in: Bernd Bischl
- Trainer/in: Giuseppe Casalicchio
- Trainer/in: Gunnar König
- Trainer/in: Christoph Molnar
- Trainer/in: Florian Pfisterer
- Trainer/in: Christian Scholbeck