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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    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
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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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