Description

Book Synopsis
This accessible, comprehensive guide is aimed at students, practitioners, engineers, and users. The emphasis is on building robust, responsible machine learning products incorporating meaningful metrics, rigorous statistical analysis, fair training sets, and explainability. Implementations in Python and sklearn are available on the book's website.

Machine Learning Evaluation

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    A Hardback by Nathalie Japkowicz

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      Publisher: Cambridge University Press
      Publication Date: Publication Date: 1/21/2024
      ISBN13: 9781316518861, 978-1316518861
      ISBN10: 1316518868
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      Description

      Book Synopsis
      This accessible, comprehensive guide is aimed at students, practitioners, engineers, and users. The emphasis is on building robust, responsible machine learning products incorporating meaningful metrics, rigorous statistical analysis, fair training sets, and explainability. Implementations in Python and sklearn are available on the book's website.

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