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Machine Learning Evaluation - Nathalie Japkowicz,Zois Boukouvalas

englanti
2024-10-14
110,60 € 147,47 €

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Toimitus 17-23 arkipäivässä

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As machine learning applications gain widespread adoption and integration in a variety of applications, including safety and mission-critical systems, the need for robust evaluation methods grows more urgent. This book compiles scattered information on the topic from research papers and blogs to provide a centralized resource that is accessible to students, practitioners, and researchers across the sciences ... Täydellinen kuvaus

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Kuvaus

As machine learning applications gain widespread adoption and integration in a variety of applications, including safety and mission-critical systems, the need for robust evaluation methods grows more urgent. This book compiles scattered information on the topic from research papers and blogs to provide a centralized resource that is accessible to students, practitioners, and researchers across the sciences. The book examines meaningful metrics for diverse types of learning paradigms and applications, unbiased estimation methods, rigorous statistical analysis, fair training sets, and meaningful explainability, all of which are essential to building robust and reliable machine learning products. In addition to standard classification, the book discusses unsupervised learning, regression, image segmentation, and anomaly detection. The book also covers topics such as industry-strength evaluation, fairness, and responsible AI. Implementations using Python and scikit-learn are available on the book's website.

Lisätietoja

Kirjoittaja Nathalie Japkowicz, Zois Boukouvalas
Julkaisija Cambridge University Press
Julkaisuvuosi 2024
Kannen tyyppi Kovakantinen
EAN 9781316518861
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Arvostelet: Machine Learning Evaluation
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110,60 € 147,47 €