Titlebook: Living Beyond Data; Toward Sustainable V Yukio Ohsawa Book 2023 Springer Nature Switzerland AG 2023 Data Collection.Data-Driven Innovation.

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Interpretability and Explainability in?Machine Learningtion is made between inherently interpretable models and post-hoc interpretable models, which in the literature are also referred to as explainable models. This overview will argue that inherently interpretable models are more favorable for deployment than explainable models, which are not as reliable as inherently interpretable models.

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