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