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US$ 25.00
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Add to basketCondition: Very Good. Hardcover in very good condition. No notes or highlights. Very minimal shelf-wear. Used - Very Good.
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Parallel Computing for Data Science (Chapman & Hall/CRC The R Series)
Published by Chapman and Hall/CRC, 2015
ISBN 10: 1466587016 ISBN 13: 9781466587014
Language: English
Seller: WorldofBooks, Goring-By-Sea, WS, United Kingdom
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US$ 36.31
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Add to basketPaperback. Condition: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
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Parallel Computing for Data Science (Chapman Hall/CRC The R Series)
Published by Chapman and Hall/CRC, 2015
ISBN 10: 1466587016 ISBN 13: 9781466587014
Language: English
Hardcover. Condition: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
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Add to basketPaperback. Condition: Brand New. 328 pages. 9.21x6.14x0.91 inches. In Stock.
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Parallel Computing for Data Science: With Examples in R, C++ and CUDA
Published by Taylor & Francis Ltd, 2020
ISBN 10: 0367738198 ISBN 13: 9780367738198
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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US$ 81.22
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Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 185.
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Parallel Computing for Data Science (Chapman & Hall/CRC The R Series)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Add to basketBlanda. Condition: New. Dust Jacket Condition: Nuevo. No Aplica (illustrator). 1. ".a thorough, but readable guide to parallel computing?one that can be used by researchers and students in a wide range of disciplines. In my view, this book will meet that need. ? For me and colleagues in my field, I would see this as a ?must-have? reference book." David E. Giles, University of Victoria. "This is a book that I will use, both as a reference and for instruction. The examples are poignant and the presentation moves the reader directly from concept to working code." Michael Kane, Yale University. Parallel Computing for Data Science: With Examples in R, C++ and CUDA is one of the first parallel computing books to concentrate exclusively on parallel data structures, algorithms, software tools, and applications in data science. It includes examples not only from the classic "n observations, p variables" matrix format but also from time series, network graph models, and numerous other structures common in data science. The book also discusses software packages that span more than one type of hardware and can be used from more than one type of programming language. Dr. Norman Matloff is a professor of computer science at the University of California, Davis, where he was a founding member of the Department of Statistics. He is a statistical consultant and a former database software developer. He earned a PhD in pure mathematics from UCLA. 480 gr. Libro.
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Parallel Computing for Data Science : With Examples in R, C++ and Cuda
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 81.21
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Parallel Computing for Data Science: With Examples in R, C++ and CUDA
Published by Taylor & Francis Inc, 2015
ISBN 10: 1466587016 ISBN 13: 9781466587014
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 89.85
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Add to basketHardback. Condition: New. New copy - Usually dispatched within 4 working days. 665.
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Parallel Computing for Data Science : With Examples in R, C++ and Cuda
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Add to basketHardcover. Condition: Brand New. 324 pages. 9.50x6.50x1.00 inches. In Stock.
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Add to basketPaperback. Condition: Brand New. 328 pages. 9.21x6.14x0.91 inches. In Stock.
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US$ 119.65
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Add to basketBuch. Condition: Neu. Neuware - This is one of the first parallel computing books to focus exclusively on parallel data structures, algorithms, software tools, and applications in data science. The book prepares readers to write effective parallel code in various languages and learn more about different R packages and other tools. It covers the classic 'n observations, p variables' matrix format and common data structures. Many examples illustrate the range of issues encountered in parallel programming.
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US$ 96.77
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Add to basketCondition: New. Dr. Norman Matloff is a professor of computer science at the University of California, Davis, where he was a founding member of the Department of Statistics. He is a statistical consultant and a former database software developer. He has.
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Parallel Computing for Data Science
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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US$ 71.13
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Parallel Computing for Data Science: With Examples in R, C++ and CUDA is one of the first parallel computing books to concentrate exclusively on parallel data structures, algorithms, software tools, and applications in data science. It includes examples not only from the classic 'n observations, p variables' matrix format but also from time series, network graph models, and numerous other structures common in data science. The examples illustrate the range of issues encountered in parallel programming.With the main focus on computation, the book shows how to compute on three types of platforms: multicore systems, clusters, and graphics processing units (GPUs). It also discusses software packages that span more than one type of hardware and can be used from more than one type of programming language. Readers will find that the foundation established in this book will generalize well to other languages, such as Python and Julia. 328 pp. Englisch.
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Parallel Computing for Data Science : With Examples in R, C++ and CUDA
Published by Chapman And Hall/CRC, 2020
ISBN 10: 0367738198 ISBN 13: 9780367738198
Language: English
US$ 81.82
Convert currencyUS$ 35.55 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Parallel Computing for Data Science: With Examples in R, C++ and CUDA is one of the first parallel computing books to concentrate exclusively on parallel data structures, algorithms, software tools, and applications in data science. It includes examples not only from the classic 'n observations, p variables' matrix format but also from time series, network graph models, and numerous other structures common in data science. The examples illustrate the range of issues encountered in parallel programming.With the main focus on computation, the book shows how to compute on three types of platforms: multicore systems, clusters, and graphics processing units (GPUs). It also discusses software packages that span more than one type of hardware and can be used from more than one type of programming language. Readers will find that the foundation established in this book will generalize well to other languages, such as Python and Julia.
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US$ 75.18
Convert currencyUS$ 56.77 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. Norman Matloff is a professor of computer science at the University of California, Davis, where he was a founding member of the Department of Statistics. He is a statistical consultant and a former database software developer. He has.
