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Interpretability
Opening The Black Box—Interpretability In Deep Learning

Opening The Black Box—Interpretability In Deep Learning

Blogs from ODSC SpeakersConferencesDeep LearningModelingDeep LearningInterpretabilityInterpretability In Deep Learningposted by ODSC Team September 11, 2019

Editor’s Note: See Joris and Matteo at their tutorial “Opening The Black Box — Interpretability in Deep Learning” at ODSC Europe 2019 this November 20th in London. Why interpretability?  In the last decade, the application of deep neural networks to long-standing problems has brought a breakthrough... Read more
Not Always a Black Box: Machine Learning Approaches For Model Explainability

Not Always a Black Box: Machine Learning Approaches For Model Explainability

Blogs from ODSC SpeakersConferencesGuest contributorModelingblack boxInterpretabilityposted by Violeta Misheva August 5, 2019

Editor’s Note: Violeta is speaking at ODSC Europe 2019, see her talk “Not Always a Black Box: Explainability Applications for a Real Estate Problem“ What is model explainability? Imagine that you have built a very precise machine learning model by using clever tricks and non-standard features.... Read more
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