Name: Machine Learning Evaluation: Towards Reliable and Responsible AI (en Inglés)
SKU: 57313869
Price: 92.66 USD
Availability: InStock
Author: Japkowicz, Nathalie ; Boukouvalas, Zois
ISBN: 9781316518861

portada Machine Learning Evaluation: Towards Reliable and Responsible AI (en Inglés)

Machine Learning Evaluation: Towards Reliable and Responsible AI (en Inglés)

Formato

Libro Físico

Autor

Nathalie Japkowicz

Zois Boukouvalas

Editorial

Cambridge University Press

Idioma

Inglés

N° páginas

420

Encuadernación

Tapa Dura

ISBN13

9781316518861

N° edición

0002

Categorías

Reconocimiento de formas
Visión por ordenador

Machine Learning Evaluation: Towards Reliable and Responsible AI (en Inglés)

Nathalie Japkowicz (Autor) · Zois Boukouvalas (Autor) · Cambridge University Press · Tapa Dura

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Reseña del libro "Machine Learning Evaluation: Towards Reliable and Responsible AI (en Inglés)"

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.