Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book brings together a blend of different areas of machine learning and recent advances in the area. From the use of ML in healthcare to security, this book encompasses several areas related to ML while keeping a check on traditional ML algorithms.Machine Learning in Healthcare and Security: Advances, Obstacles, and Solutions describes the predictive analysis and forecasting techniques in different emerging and classical areas using the approaches of ML and AI. It discusses the application of ML and AI in medical diagnostic systems and deals with the security prevention aspects of ML and how it can be used to tackle various emerging security issues. This book also focuses on NLP and understanding the techniques, obstacles, and possible solutions.This is a valuable reference resource for researchers and postgraduate students in healthcare systems engineering, computer science, cyber-security, information technology, and applied mathematics. 212 pp. Englisch. N� de r�f. du vendeur 9781032478418

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Machine Learning in Healthcare and Security : Advances, Obstacles, and Solutions

Pranav, Prashant (EDT); Patel, Archana (EDT); Jain, Sarika (EDT)

Edit� par CRC Press, 2024

ISBN 10 : 1032478411 ISBN 13 : 9781032478418

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Etat : New. N� de r�f. du vendeur 46515154-n

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Machine Learning in Healthcare and Security (Artificial Intelligence in Smart Healthcare Systems)

Edit� par CRC Press, 2024

ISBN 10 : 1032478411 ISBN 13 : 9781032478418

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Vendeur : Books Puddle, New York, NY, Etats-Unis

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Etat : New. 1st edition NO-PA16APR2015-KAP. N� de r�f. du vendeur 26398882457

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Machine Learning in Healthcare and Security: Advances, Obstacles, and Solutions

Pranav, Prashant (Editor)/ Patel, Archana (Editor)/ Jain, Sarika (Editor)

Edit� par CRC Pr I Llc, 2024

ISBN 10 : 1032478411 ISBN 13 : 9781032478418

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Vendeur : Revaluation Books, Exeter, Royaume-Uni

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Hardcover. Etat : Brand New. 256 pages. 9.19x6.13x0.70 inches. In Stock. This item is printed on demand. N� de r�f. du vendeur __1032478411

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