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Machine Learning Adaptive Many Core by Lopes Noel (27 results)
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Machine Learning for Adaptive Many-Core Machines - A Practical Approach (Studies in Big Data, 7)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 96.88
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Machine Learning for Adaptive Many-Core Machines - A Practical Approach (Studies in Big Data, 7)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 96.88
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Machine Learning for Adaptive Many-core Machines : A Practical Approach
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Machine Learning for Adaptive Many-Core Machines : A Practical Approach
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Condition: New. pp. 264.
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Hardcover. Condition: Brand New. 2015 edition. 241 pages. 9.25x6.25x0.75 inches. In Stock.
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Taschenbuch. Condition: Neu. Machine Learning for Adaptive Many-Core Machines - A Practical Approach | Noel Lopes (u. a.) | Taschenbuch | Studies in Big Data | xx | Englisch | 2016 | Springer | EAN 9783319380964 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Machine Learning for Adaptive Many-core Machines: A Practical Approach
Language: English
Published by Springer-Verlag New York Inc, 2016
ISBN 10: 3319380966 ISBN 13: 9783319380964
Paperback. Condition: Brand New. reprint edition. 264 pages. 9.25x6.10x0.62 inches. In Stock.
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Condition: New. pp. 261.
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Machine Learning for Adaptive Many-Core Machines : A Practical Approach
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 144.99
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Hardcover. Condition: Like New. Like New. book.
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Condition: As New. Unread book in perfect condition.
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Machine Learning for Adaptive Many-core Machines : A Practical Approach
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 175.99
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
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Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Condition: As New. Unread book in perfect condition.
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Condition: new. Questo è un articolo print on demand.
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Condition: new. Questo è un articolo print on demand.
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Machine Learning for Adaptive Many-Core Machines - A Practical Approach
Language: English
Published by Springer International Publishing, 2014
ISBN 10: 3319069373 ISBN 13: 9783319069371
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Recent research in machine learning for adaptive many-core machinesPresents a practical approachWritten by experts in the fieldThe overwhelming data produced everyday and the increasing performance and cost requirements of applic.
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Machine Learning for Adaptive Many-Core Machines - A Practical Approach
Language: English
Published by Springer International Publishing, 2016
ISBN 10: 3319380966 ISBN 13: 9783319380964
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Recent research in machine learning for adaptive many-core machinesPresents a practical approachWritten by experts in the fieldThe overwhelming data produced everyday and the increasing performance and cost requirements of applic.
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Condition: New. Print on Demand pp. 264 112 Illus. (4 Col.).
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Condition: New. PRINT ON DEMAND pp. 264.
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Machine Learning for Adaptive Many-Core Machines - A Practical Approach
Language: English
Published by Springer, Springer Jul 2014, 2014
ISBN 10: 3319069373 ISBN 13: 9783319069371
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The overwhelming data produced everyday and the increasing performance and cost requirements of applicationsare 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 264 pp. Englisch.
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Machine Learning for Adaptive Many-Core Machines - A Practical Approach
Language: English
Published by Springer, Springer Sep 2016, 2016
ISBN 10: 3319380966 ISBN 13: 9783319380964
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The overwhelming data produced everyday and the increasing performance and cost requirements of applicationsare 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 264 pp. Englisch.
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Condition: New. PRINT ON DEMAND pp. 261.
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Condition: New. Print on Demand pp. 261.
