Machine Learning Explainability: 'Do's' and 'Don'ts'
- TYPE: Keynote DATE: Wednesday, November 25, 2020 TIME: 13:30-13:50
Explaining the decision and behavior of machine learning models has become increasingly important, especially in industries such as finance, insurance and healthcare. But what does it mean to explain a model? When do we need to have that in place and when not? In this talk we will discuss such topics, and cover some requirements to make explainability successful in a complex organization.
- Contact person:
Ms. Lauren Zuber
+49 211 23707725
- Nov 24 - 25, 2020