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Someday machine learning models may be more ‘glass box‘ than black box. Until then, explainability tools and techniques can help us understand how a black box model makes its decisions.

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Matt Turek ,Christoph Molnar ,Google ,Microsoft Research ,Defense Advanced Research Projects Agency ,Data Labeling Service ,Wells Fargo ,Microsoft ,Machine Learning ,Azure Machine ,Interpretable Machine Learning ,Google Cloud Platform ,What If Tool ,Feature Fit ,Feature Effects ,

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