Langue: anglais
Edité par Cambridge University Press, 2011
ISBN 10 : 0521192242 ISBN 13 : 9780521192248
Vendeur : Boards & Wraps, Baltimore, MD, Etats-Unis
Edition originale
EUR 26,23
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Ajouter au panierHardcover. Etat : Very Good+. Etat de la jaquette : No Dust Jacket. First Edition. Light rubbing and toning overall and some light scratches. Interior pages clean and unmarked. A tight and clean copy. Photos upon request. International shipping billed at cost.; 4to 11" - 13" tall; 492 pages.
Langue: anglais
Edité par Cambridge University Press, 2012
ISBN 10 : 0521192242 ISBN 13 : 9780521192248
Vendeur : Anybook.com, Lincoln, Royaume-Uni
EUR 17,72
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Ajouter au panierEtat : Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1100grams, ISBN:9780521192248.
Langue: anglais
Edité par Cambridge University Press, 2011
ISBN 10 : 0521192242 ISBN 13 : 9780521192248
Vendeur : HPB-Red, Dallas, TX, Etats-Unis
EUR 48,74
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Ajouter au panierhardcover. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Langue: anglais
Edité par Cambridge University Press, 2018
ISBN 10 : 1108461743 ISBN 13 : 9781108461740
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 62,84
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Ajouter au panierEtat : New.
Langue: anglais
Edité par Cambridge University Press, 2011
ISBN 10 : 0521192242 ISBN 13 : 9780521192248
Vendeur : Real Books R Better, Thompsons Station, TN, Etats-Unis
EUR 65,25
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Ajouter au panierhardcover. Etat : New. BRAND NEW! Ships within 24 hours!
Langue: anglais
Edité par Cambridge University Press, 2018
ISBN 10 : 1108461743 ISBN 13 : 9781108461740
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 66,72
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Langue: anglais
Edité par Cambridge University Press, 2018
ISBN 10 : 1108461743 ISBN 13 : 9781108461740
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 62,04
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Ajouter au panierEtat : New. In.
Langue: anglais
Edité par Cambridge University Press 2018-03-29, 2018
ISBN 10 : 1108461743 ISBN 13 : 9781108461740
Vendeur : Chiron Media, Wallingford, Royaume-Uni
EUR 59,30
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Ajouter au panierPaperback. Etat : New.
Langue: anglais
Edité par Cambridge University Press, 2018
ISBN 10 : 1108461743 ISBN 13 : 9781108461740
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 62,02
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Ajouter au panierEtat : New.
Langue: anglais
Edité par Cambridge University Press, 2018
ISBN 10 : 1108461743 ISBN 13 : 9781108461740
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande
EUR 74,24
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Ajouter au panierEtat : New. 2018. Reprint. Paperback. . . . . .
Langue: anglais
Edité par Cambridge University Press, 2018
ISBN 10 : 1108461743 ISBN 13 : 9781108461740
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 68,75
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Langue: anglais
Edité par Cambridge University Press CUP, 2018
ISBN 10 : 1108461743 ISBN 13 : 9781108461740
Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 89,73
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Ajouter au panierEtat : New. Reprint edition rsity Press UK NO-PA16APR2015-KAP.
Langue: anglais
Edité par Cambridge University Press, 2018
ISBN 10 : 1108461743 ISBN 13 : 9781108461740
Vendeur : Kennys Bookstore, Olney, MD, Etats-Unis
EUR 89,89
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Ajouter au panierEtat : New. 2018. Reprint. Paperback. . . . . . Books ship from the US and Ireland.
Langue: anglais
Edité par Cambridge University Press, 2018
ISBN 10 : 1108461743 ISBN 13 : 9781108461740
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 90,47
Quantité disponible : 2 disponible(s)
Ajouter au panierPaperback. Etat : Brand New. 1st reprint edition. 492 pages. 9.88x7.01x1.50 inches. In Stock.
Langue: anglais
Edité par Cambridge University Press, 2011
ISBN 10 : 0521192242 ISBN 13 : 9780521192248
Vendeur : DeckleEdge LLC, Albuquerque, NM, Etats-Unis
EUR 112,87
Quantité disponible : 1 disponible(s)
Ajouter au panierhardcover. Etat : new.
Langue: anglais
Edité par Cambridge University Press, Cambridge, 2011
ISBN 10 : 0521192242 ISBN 13 : 9780521192248
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
EUR 129,99
Quantité disponible : 1 disponible(s)
Ajouter au panierHardcover. Etat : new. Hardcover. This book presents an integrated collection of representative approaches for scaling up machine learning and data mining methods on parallel and distributed computing platforms. Demand for parallelizing learning algorithms is highly task-specific: in some settings it is driven by the enormous dataset sizes, in others by model complexity or by real-time performance requirements. Making task-appropriate algorithm and platform choices for large-scale machine learning requires understanding the benefits, trade-offs and constraints of the available options. Solutions presented in the book cover a range of parallelization platforms from FPGAs and GPUs to multi-core systems and commodity clusters, concurrent programming frameworks including CUDA, MPI, MapReduce and DryadLINQ, and learning settings (supervised, unsupervised, semi-supervised and online learning). Extensive coverage of parallelization of boosted trees, SVMs, spectral clustering, belief propagation and other popular learning algorithms, and deep dives into several applications, make the book equally useful for researchers, students and practitioners. In many practical situations it is impossible to run existing machine learning methods on a single computer, because either the data is too large or the speed and throughput requirements are too demanding. Researchers and practitioners will find here a variety of machine learning methods developed specifically for parallel or distributed systems, covering algorithms, platforms and applications. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Langue: anglais
Edité par Cambridge University Press, 2011
ISBN 10 : 0521192242 ISBN 13 : 9780521192248
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 117,32
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New. In.
Langue: anglais
Edité par Cambridge University Press, 2012
ISBN 10 : 0521192242 ISBN 13 : 9780521192248
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande
EUR 137,91
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New. This integrated collection covers a range of parallelization platforms, concurrent programming frameworks and machine learning settings, with case studies. Editor(s): Bekkerman, Ron; Bilenko, Mikhail; Langford, John. Num Pages: 492 pages, 144 b/w illus. BIC Classification: UYQM; UYQP. Category: (U) Tertiary Education (US: College). Dimension: 256 x 185 x 31. Weight in Grams: 1078. . 2012. Illustrated. hardcover. . . . .
Langue: anglais
Edité par Cambridge University Press, 2011
ISBN 10 : 0521192242 ISBN 13 : 9780521192248
Vendeur : Kennys Bookstore, Olney, MD, Etats-Unis
EUR 168,04
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New. This integrated collection covers a range of parallelization platforms, concurrent programming frameworks and machine learning settings, with case studies. Editor(s): Bekkerman, Ron; Bilenko, Mikhail; Langford, John. Num Pages: 492 pages, 144 b/w illus. BIC Classification: UYQM; UYQP. Category: (U) Tertiary Education (US: College). Dimension: 256 x 185 x 31. Weight in Grams: 1078. . 2012. Illustrated. hardcover. . . . . Books ship from the US and Ireland.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 165,44
Quantité disponible : 2 disponible(s)
Ajouter au panierHardcover. Etat : Brand New. 488 pages. 10.00x7.20x1.30 inches. In Stock.
Langue: anglais
Edité par Cambridge University Press, 2011
ISBN 10 : 0521192242 ISBN 13 : 9780521192248
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 155,50
Quantité disponible : 1 disponible(s)
Ajouter au panierBuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents an integrated collection of representative approaches for scaling up machine learning and data mining methods on parallel and distributed computing platforms. Demand for parallelizing learning algorithms is highly task-specific: in some settings it is driven by the enormous dataset sizes, in others by model complexity or by real-time performance requirements. Making task-appropriate algorithm and platform choices for large-scale machine learning requires understanding the benefits, trade-offs and constraints of the available options. Solutions presented in the book cover a range of parallelization platforms from FPGAs and GPUs to multi-core systems and commodity clusters, concurrent programming frameworks including CUDA, MPI, MapReduce and DryadLINQ, and learning settings (supervised, unsupervised, semi-supervised and online learning). Extensive coverage of parallelization of boosted trees, SVMs, spectral clustering, belief propagation and other popular learning algorithms, and deep dives into several applications, make the book equally useful for researchers, students and practitioners.
Langue: anglais
Edité par Cambridge University Press, 2011
ISBN 10 : 0521192242 ISBN 13 : 9780521192248
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
EUR 217,59
Quantité disponible : 1 disponible(s)
Ajouter au panierHardcover. Etat : Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Langue: chinois
Edité par National Defense Industry Press, 2021
ISBN 10 : 7118122890 ISBN 13 : 9787118122893
Vendeur : liu xing, Nanjing, JS, Chine
EUR 123,27
Quantité disponible : 3 disponible(s)
Ajouter au panierpaperback. Etat : New. Paperback. Pub Date: 2021-03-01 Pages: 496 Language: Chinese Publisher: National Defense Industry Press Large-scale Machine Learning: Parallel and Distributed Technology The content involves the parallelization of some machine learning algorithms. making large-scale distributed machines Learning algorithms become possible. The content is divided into four parts: large-scale machine learning frameworks. supervised and unsupervised learning algorithms. other learning algorithms and related appl.
Langue: anglais
Edité par Cambridge University Press, Cambridge, 2018
ISBN 10 : 1108461743 ISBN 13 : 9781108461740
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
EUR 65,15
Quantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : new. Paperback. This book presents an integrated collection of representative approaches for scaling up machine learning and data mining methods on parallel and distributed computing platforms. Demand for parallelizing learning algorithms is highly task-specific: in some settings it is driven by the enormous dataset sizes, in others by model complexity or by real-time performance requirements. Making task-appropriate algorithm and platform choices for large-scale machine learning requires understanding the benefits, trade-offs and constraints of the available options. Solutions presented in the book cover a range of parallelization platforms from FPGAs and GPUs to multi-core systems and commodity clusters, concurrent programming frameworks including CUDA, MPI, MapReduce and DryadLINQ, and learning settings (supervised, unsupervised, semi-supervised and online learning). Extensive coverage of parallelization of boosted trees, SVMs, spectral clustering, belief propagation and other popular learning algorithms, and deep dives into several applications, make the book equally useful for researchers, students and practitioners. In many practical situations it is impossible to run existing machine learning methods on a single computer, because either the data is too large or the speed and throughput requirements are too demanding. Researchers and practitioners will find here a variety of machine learning methods developed specifically for parallel or distributed systems, covering algorithms, platforms and applications. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Langue: anglais
Edité par Cambridge University Press, 2018
ISBN 10 : 1108461743 ISBN 13 : 9781108461740
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 58,04
Quantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : Brand New. 1st reprint edition. 492 pages. 9.88x7.01x1.50 inches. In Stock. This item is printed on demand.
Langue: anglais
Edité par Cambridge University Press, 2018
ISBN 10 : 1108461743 ISBN 13 : 9781108461740
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
EUR 62,03
Quantité disponible : Plus de 20 disponibles
Ajouter au panierPaperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Langue: anglais
Edité par Cambridge University Press, 2018
ISBN 10 : 1108461743 ISBN 13 : 9781108461740
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 89,66
Quantité disponible : 4 disponible(s)
Ajouter au panierEtat : New. Print on Demand.
Langue: anglais
Edité par Cambridge University Press, 2018
ISBN 10 : 1108461743 ISBN 13 : 9781108461740
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 90,06
Quantité disponible : 4 disponible(s)
Ajouter au panierEtat : New. PRINT ON DEMAND.
Langue: anglais
Edité par Cambridge University Press, Cambridge, 2018
ISBN 10 : 1108461743 ISBN 13 : 9781108461740
Vendeur : CitiRetail, Stevenage, Royaume-Uni
EUR 68,58
Quantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : new. Paperback. This book presents an integrated collection of representative approaches for scaling up machine learning and data mining methods on parallel and distributed computing platforms. Demand for parallelizing learning algorithms is highly task-specific: in some settings it is driven by the enormous dataset sizes, in others by model complexity or by real-time performance requirements. Making task-appropriate algorithm and platform choices for large-scale machine learning requires understanding the benefits, trade-offs and constraints of the available options. Solutions presented in the book cover a range of parallelization platforms from FPGAs and GPUs to multi-core systems and commodity clusters, concurrent programming frameworks including CUDA, MPI, MapReduce and DryadLINQ, and learning settings (supervised, unsupervised, semi-supervised and online learning). Extensive coverage of parallelization of boosted trees, SVMs, spectral clustering, belief propagation and other popular learning algorithms, and deep dives into several applications, make the book equally useful for researchers, students and practitioners. In many practical situations it is impossible to run existing machine learning methods on a single computer, because either the data is too large or the speed and throughput requirements are too demanding. Researchers and practitioners will find here a variety of machine learning methods developed specifically for parallel or distributed systems, covering algorithms, platforms and applications. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Vendeur : moluna, Greven, Allemagne
EUR 66,08
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. In many practical situations it is impossible to run existing machine learning methods on a single computer, because either the data is too large or the speed and throughput requirements are too demanding. Researchers and practitioners will find here a vari.