Machine Unlearning: Concepts, Techniques by Rajan Gupta (.ePUB)+
File Size: 11.1 MB
Machine Unlearning: Concepts, Techniques and Applications (Studies in Computational Intelligence) by Rajan Gupta, Anamika Gupta, Sarabjeet Kaur Kochhar, Saibal K. Pal
Requirements: .ePUB, .PDF reader, 11.1 MB | True PDF, True EPUB
Overview: 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. This authoritative book delivers a systematic exploration of machine unlearning’s conceptual frameworks, algorithmic innovations, and real-world implementations across multiple industries. Starting with foundational principles and classification systems, readers master both exact unlearning methodologies—which guarantee complete data influence removal through sophisticated algorithmic approaches—and approximate strategies that achieve efficient influence reduction via targeted parameter modifications.
Genre: Non-Fiction > Tech & Devices
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