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Editore: Springer, 2022
ISBN 10: 3031164733ISBN 13: 9783031164736
Da: booksXpress, Bayonne, NJ, U.S.A.
Libro
Soft Cover. Condizione: new.
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Editore: Imprensa da Universidade de Coimbra / Coimbra University Press, 2018
ISBN 10: 9892615077ISBN 13: 9789892615073
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Libro
Condizione: New.
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Editore: Apress, 2018
ISBN 10: 1484234529ISBN 13: 9781484234525
Da: GF Books, Inc., Hawthorne, CA, U.S.A.
Libro
Condizione: Fine. Book is in Used-LikeNew condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear.
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Nuovo - A partire da EUR 35,30
Usato - A partire da EUR 35,21
Scopri anche Brossura
Editore: Wien, Springer, 2010
Da: Antiquariat Thomas Haker GmbH & Co. KG, Berlin, Germania
Membro dell'associazione: GIAQ
Libro
Softcover/Paperback. 564 p. Very good. Shrink wrapped. / Sehr guter Zustand. In Folie verschweißt. Sprache: Englisch Gewicht in Gramm: 1730.
Editore: Springer, 2019
ISBN 10: 303031331XISBN 13: 9783030313319
Da: Books From California, Simi Valley, CA, U.S.A.
Libro
Paperback. Condizione: Very Good.
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Editore: Springer International Publishing, 2014
ISBN 10: 3319069373ISBN 13: 9783319069371
Da: Buchpark, Trebbin, Germania
Libro
Condizione: Sehr gut. 2015. Buchschnitt verkürzt - gepflegter, sauberer Zustand - Ausgabejahr 2014 24826610/12.
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Nuovo - A partire da EUR 107,32
Usato - A partire da EUR 20,10
Scopri anche Rilegato
Editore: Springer, 2019
ISBN 10: 3030313204ISBN 13: 9783030313203
Da: Big River Books, Powder Springs, GA, U.S.A.
Libro
Condizione: VeryGood. The cover may have some normal wear. The text has no notes or markings. Please note: This item is the textbook ONLY. Any access codes and CDs are NOT guaranteed.
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Nuovo - A partire da EUR 90,88
Usato - A partire da EUR 75,40
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Editore: Springer International Publishing Sep 2016, 2016
ISBN 10: 3319380966ISBN 13: 9783319380964
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Libro Print on Demand
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The overwhelming data produced everyday and the increasing performance and cost requirements of applications are transversal to a wide range of activities in society, from science to industry. In particular, the magnitude and complexity of the tasks that Machine Learning (ML) algorithms have to solve are driving the need to devise adaptive many-core machines that scale well with the volume of data, or in other words, can handle Big Data.This book gives a concise view on how to extend the applicability of well-known ML algorithms in Graphics Processing Unit (GPU) with data scalability in mind. It presents a series of new techniques to enhance, scale and distribute data in a Big Learning framework. It is not intended to be a comprehensive survey of the state of the art of the whole field of machine learning for Big Data. Its purpose is less ambitious and more practical: to explain and illustrate existing and novel GPU-based ML algorithms, not viewed as a universal solution for the Big Data challenges but rather as part of the answer, which may require the use of different strategies coupled together. 264 pp. Englisch.
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Nuovo - A partire da EUR 106,99
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Editore: Springer Verlag, 2007
ISBN 10: 3540715894ISBN 13: 9783540715894
Da: Revaluation Books, Exeter, Regno Unito
Libro
Paperback. Condizione: Brand New. 1st edition. 851 pages. 9.00x5.75x1.25 inches. In Stock.
Editore: Springer Verlag, 2005
ISBN 10: 3211249346ISBN 13: 9783211249345
Da: Revaluation Books, Exeter, Regno Unito
Libro
Paperback. Condizione: Brand New. 1st edition. 545 pages. German language. 10.75x8.00x1.00 inches. In Stock.