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.


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Speaker:

Violeta is a data scientist, passionate about machine learning and topics such as fairness and explainability of machine learning models. She supplements her machine learning knowledge with her doctorate in applied econometrics and likes working on complex problems that require multidisciplinary...


Session Links


Virtual Event

cybernetix.world 2020

Language:
English
Contact person:

Ms. Lauren Zuber
+49 211 23707725
lz@kuppingercole.com
  • Nov 24 - 25, 2020