Explainable AI for Practitioners : designing and implementing explainable ML solutions /

Most intermediate-level machine learning books focus on how to optimize models by increasing accuracy or decreasing prediction error. But this approach often overlooks the importance of understanding why and how your ML model makes the predictions that it does. Explainability methods provide an esse...

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Bibliographic Details
Main Author: Munn, Michael (ML solutions engineer)
Other Authors: Pitman, David, Taly, Ankur
Format: eBook
Language:English
Published: Sebastapol, CA : O'Reilly Media, 2022.
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Call Number: Q325.5 .M85 2022
 
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Q325.5 .M85 2022 Available