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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    Order before 4pm today for delivery by Mon 8 Jun 2026.

    A Hardback by Nathalie Japkowicz

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      View other formats and editions of Machine Learning Evaluation by Nathalie Japkowicz

      Publisher: Cambridge University Press
      Publication Date: 1/21/2024
      ISBN13: 9781316518861, 978-1316518861
      ISBN10: 1316518868
      Also in:
      Computing Pattern recognition

      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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