Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Da: GreatBookPrices, Columbia, MD, U.S.A.
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Da: GreatBookPrices, Columbia, MD, U.S.A.
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Da: GreatBookPrices, Columbia, MD, U.S.A.
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Condizione: New. 1st edition NO-PA16APR2015-KAP.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 168,94
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Da: Majestic Books, Hounslow, Regno Unito
EUR 164,49
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 153,11
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 158,17
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Da: California Books, Miami, FL, U.S.A.
EUR 176,50
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 164,10
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 162,71
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days.
Da: Majestic Books, Hounslow, Regno Unito
EUR 178,02
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EUR 186,11
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 170,04
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EUR 184,56
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Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: Taylor and Francis Ltd (Sales), 2025
ISBN 10: 177964356X ISBN 13: 9781779643568
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 198,41
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Taylor and Francis Ltd (Sales), 2025
ISBN 10: 177964356X ISBN 13: 9781779643568
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 210,89
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 189,00
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 203,53
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Da: Revaluation Books, Exeter, Regno Unito
EUR 231,40
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Aggiungi al carrelloHardcover. Condizione: Brand New. 312 pages. 9.19x6.13x9.21 inches. In Stock.
Da: Revaluation Books, Exeter, Regno Unito
EUR 248,16
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Aggiungi al carrelloHardcover. Condizione: Brand New. 433 pages. 9.18x6.12x9.45 inches. In Stock.
Lingua: Inglese
Editore: Apple Academic Press Inc., Oakville, 2025
ISBN 10: 177964356X ISBN 13: 9781779643568
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. In this internet age of security challenges and threats from cybercrime, enhanced security measures are necessary. The zero trust modelthe IT security model that requires strict identity verification for every person and device trying to access resources on a private networkhelps to meet these everincreasing and evolving security challenges. This new volume offers a comprehensive overview of the zero trust security model and its application in the field of cybersecurity, covering the principles, technologies, and best practices for implementing a zero trust approach, equipping readers with the knowledge and tools to secure their digital environments effectively. This book stands out by providing a holistic view of the zero trust security model, combining practical guidance for professionals with educational insights for both professionals and students and offering real-world examples and case studies that bridge the gap between learning and implementation. Incorporates the latest advancements in cybersecurity education. It covers the fundamentals, importance, and advantages of zero trust security models; addresses the roles of AI, blockchain and machine learning play in zero trust learning and security; and looks at the different kinds of security threats and how zero trust can mitigate risk. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2024
ISBN 10: 1032689552 ISBN 13: 9781032689555
Da: CitiRetail, Stevenage, Regno Unito
EUR 131,92
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. This book provides a practical guide to federated deep learning for healthcare including fundamental concepts, framework, and the applications comprising domain adaptation, model distillation, and transfer learning. It covers concerns in model fairness, data bias, regulatory compliance, and ethical dilemmas. It investigates several privacy-preserving methods such as homomorphic encryption, secure multi-party computation, and differential privacy. It will enable readers to build and implement federated learning systems that safeguard private medical information.Features:Offers a thorough introduction of federated deep learning methods designed exclusively for medical applications.Investigates privacy-preserving methods with emphasis on data security and privacy.Discusses healthcare scaling and resource efficiency considerations.Examines methods for sharing information among various healthcare organizations while retaining model performance.This book is aimed at graduate students and researchers in federated learning, data science, AI/machine learning, and healthcare. This book provides a practical guide to federated deep learning for healthcare including fundamental concepts, framework, and the applications comprising of domain adaptation, model distillation, and transfer learning. It covers concerns in model fairness, data bias, regulatory compliance, and ethical dilemmas. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Da: moluna, Greven, Germania
EUR 135,38
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. Amandeep Kaur currently holds the position of a professor at the Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab. She earned her doctorate degree from I. K. Gujral Punjab Technical University,.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 174,81
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.
Lingua: Inglese
Editore: Apple Academic Press Inc., Oakville, 2025
ISBN 10: 177964356X ISBN 13: 9781779643568
Da: CitiRetail, Stevenage, Regno Unito
EUR 148,41
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. In this internet age of security challenges and threats from cybercrime, enhanced security measures are necessary. The zero trust modelthe IT security model that requires strict identity verification for every person and device trying to access resources on a private networkhelps to meet these everincreasing and evolving security challenges. This new volume offers a comprehensive overview of the zero trust security model and its application in the field of cybersecurity, covering the principles, technologies, and best practices for implementing a zero trust approach, equipping readers with the knowledge and tools to secure their digital environments effectively. This book stands out by providing a holistic view of the zero trust security model, combining practical guidance for professionals with educational insights for both professionals and students and offering real-world examples and case studies that bridge the gap between learning and implementation. Incorporates the latest advancements in cybersecurity education. It covers the fundamentals, importance, and advantages of zero trust security models; addresses the roles of AI, blockchain and machine learning play in zero trust learning and security; and looks at the different kinds of security threats and how zero trust can mitigate risk. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Da: preigu, Osnabrück, Germania
EUR 189,55
Quantità: 5 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Federated Deep Learning for Healthcare | A Practical Guide with Challenges and Opportunities | Amandeep Kaur (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2024 | CRC Press | EAN 9781032689555 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.