Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009299514 ISBN 13: 9781009299510
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009299514 ISBN 13: 9781009299510
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. 1st edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009299514 ISBN 13: 9781009299510
Da: Majestic Books, Hounslow, Regno Unito
EUR 58,57
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Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009299514 ISBN 13: 9781009299510
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 58,36
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Lingua: Inglese
Editore: Cambridge University Press, 2023
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Da: California Books, Miami, FL, U.S.A.
EUR 70,53
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Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009299514 ISBN 13: 9781009299510
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 72,06
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009299514 ISBN 13: 9781009299510
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 64,35
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Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009299514 ISBN 13: 9781009299510
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 69,19
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Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009299514 ISBN 13: 9781009299510
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 76,17
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Aggiungi al carrelloCondizione: New. 2023. hardcover. . . . . .
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009299514 ISBN 13: 9781009299510
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 76,07
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Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009299514 ISBN 13: 9781009299510
Da: Kennys Bookstore, Olney, MD, U.S.A.
EUR 95,32
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Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009299514 ISBN 13: 9781009299510
Da: Revaluation Books, Exeter, Regno Unito
EUR 93,93
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Aggiungi al carrelloHardcover. Condizione: Brand New. 271 pages. 9.25x6.14x0.75 inches. In Stock.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2023
ISBN 10: 1009299514 ISBN 13: 9781009299510
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. Privacy-preserving computing aims to protect the personal information of users while capitalizing on the possibilities unlocked by big data. This practical introduction for students, researchers, and industry practitioners is the first cohesive and systematic presentation of the field's advances over four decades. The book shows how to use privacy-preserving computing in real-world problems in data analytics and AI, and includes applications in statistics, database queries, and machine learning. The book begins by introducing cryptographic techniques such as secret sharing, homomorphic encryption, and oblivious transfer, and then broadens its focus to more widely applicable techniques such as differential privacy, trusted execution environment, and federated learning. The book ends with privacy-preserving computing in practice in areas like finance, online advertising, and healthcare, and finally offers a vision for the future of the field. Privacy-preserving computing aims to protect the personal information of users while capitalizing on the possibilities offered by big data. This practical introduction for students, researchers, and industry practitioners presents a systematic tour of recent advances in privacy-preserving methods for real-world problems in analytics and AI. 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: Cambridge University Press, 2023
ISBN 10: 1009299514 ISBN 13: 9781009299510
Da: Revaluation Books, Exeter, Regno Unito
EUR 64,00
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 271 pages. 9.25x6.14x0.75 inches. In Stock. This item is printed on demand.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2023
ISBN 10: 1009299514 ISBN 13: 9781009299510
Da: CitiRetail, Stevenage, Regno Unito
EUR 75,17
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Privacy-preserving computing aims to protect the personal information of users while capitalizing on the possibilities unlocked by big data. This practical introduction for students, researchers, and industry practitioners is the first cohesive and systematic presentation of the field's advances over four decades. The book shows how to use privacy-preserving computing in real-world problems in data analytics and AI, and includes applications in statistics, database queries, and machine learning. The book begins by introducing cryptographic techniques such as secret sharing, homomorphic encryption, and oblivious transfer, and then broadens its focus to more widely applicable techniques such as differential privacy, trusted execution environment, and federated learning. The book ends with privacy-preserving computing in practice in areas like finance, online advertising, and healthcare, and finally offers a vision for the future of the field. Privacy-preserving computing aims to protect the personal information of users while capitalizing on the possibilities offered by big data. This practical introduction for students, researchers, and industry practitioners presents a systematic tour of recent advances in privacy-preserving methods for real-world problems in analytics and AI. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.