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portada Machine Unlearning: Concepts, Techniques and Applications
Type
Physical Book
Publisher
Author
Language
English
Pages
197
Format
Hardcover
ISBN13
9783032184467

Machine Unlearning: Concepts, Techniques and Applications

Gupta, Rajan; Gupta, Anamika; Kochhar, Sarabjeet Kaur (Author) · Springer · Hardcover

Machine Unlearning: Concepts, Techniques and Applications - Gupta, Rajan; Gupta, Anamika; Kochhar, Sarabjeet Kaur

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Synopsis "Machine Unlearning: Concepts, Techniques and Applications"

This book masters the critical skill of selective data removal from AI systems--essential for regulatory compliance and ethical AI development. This comprehensive book bridges the gap between theoretical foundations and practical implementation, offering clear pathways through both exact and approximate unlearning methodologies. Designed for machine learning engineers, privacy specialists, researchers, and policymakers, it uniquely integrates technical depth with legal and ethical frameworks. From telecom to finance, discover how to eliminate data influence while preserving model utility. Ideal for graduate courses, professional training, and organizational compliance initiatives, this book positions you at the forefront of responsible AI innovation in an increasingly privacy-conscious world.

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The book is written in English.

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The binding of this edition is Hardcover.

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