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Více informací o knize Machine Unlearning: Concepts, Techniques and Applications

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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

• Plný název: Machine Unlearning: Concepts, Techniques and Applications
• Autor: Rajan Gupta, Anamika Gupta, Sarabjeet Kaur Kochhar, Saibal K. Pal
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 197
• EAN: 9783032184467
• ID: 50305544
• Nakladatelství: Springer, Berlin
• Rozměry: 235 × 155 mm
• Datum vydání: 24. May 2026

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