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Interpretable Machine Learning: How to make black box...


Speaker: Alexander Engelhardt

Track:PyData Complex machine learning models make better predictions, but at the cost of turning into an unexplainable black-box model. In this talk, we'll look into a framework that allows us to explain why a model makes a specific prediction.

Recorded at the PyConDE & PyData Berlin 2019 conference.

More details at the conference page: Twitter: Twitter:


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