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interpretabilityrobots.pngInterpretability is crucial for trusting AI and machine learning

“Data scientists often put emphasis on the prediction accuracy of their models – not on understanding how those predictions are actually made,” says Ilknur Kaynar Kabul, SAS Sr. Manager, Advanced Analytics R+D. She talks about the what, why and when of interpretability of machine learning in this blog post.

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