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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    Order before 4pm today for delivery by Wed 9 Sep 2026.

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      Book details

      Publisher Cambridge University Press
      Published 1/21/2024
      ISBN-13 9781316518861
      978-1316518861
      ISBN-10 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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