Fundamentals of Robust Machine Learning

Language: English

Published by Toronto Academic Press Mär 2026, 2026

1779568878 / 9781779568878

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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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This item is printed on demand - it takes 3-4 days longer - Neuware -The reliability and stability of machine learning systems are crucial in real-world applications, where data variability, noise, and uncertainty can significantly affect model performance. Building models that remain effective under such challenges defines the essence of robust AI. Fundamentals of Robust Machine Learning explores the theoretical and practical approaches to designing resilient learning algorithms. The book discusses adversarial robustness, data augmentation, uncertainty quantification, and generalization techniques. It also covers robust optimization and fairness in model evaluation. Combining mathematical rigor with applied examples, it provides students, researchers, and engineers with tools to build dependable machine learning systems capable of handling complex, imperfect, and evolving data environments. 484 pp. Englisch.

Seller Inventory # 9781779568878

Title
Fundamentals of Robust Machine Learning
Author
Bechoo Lal
Publisher
Toronto Academic Press Mär 2026
Publication year
2026
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
1779568878
ISBN 13
9781779568878

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

Shipping rates from Germany to U.S.A.

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BuchWeltWeit Ludwig Meier e.K.

Germany