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Hardcover. Condition: 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!
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Hardcover. Condition: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.
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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
Condition: Good. Exact ISBN match. Immediate shipping. No funny business.
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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
Seller rating 5 out of 5 stars
Paperback. 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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Condition: Very Good. Hardcover in very good condition. No notes or highlights. Very minimal shelf-wear. Used - Very Good.
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Condition: As New. Unread book in perfect condition.
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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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Parallel Computing for Data Science : With Examples in R, C++ and Cuda
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Parallel Computing for Data Science (Chapman & Hall/CRC The R Series)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 78.42
US$ 15.69 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
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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
Seller rating 5 out of 5 stars
Paperback / 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 : With Examples in R, C++ and Cuda
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Blanda. 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
Published by Chapman and Hall/CRC, 2015
ISBN 10: 1466587016 ISBN 13: 9781466587014
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Hardcover. Condition: Brand New. 324 pages. 9.50x6.50x1.00 inches. In Stock.
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Paperback. 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 Chapman and Hall/CRC, 2015
ISBN 10: 1466587016 ISBN 13: 9781466587014
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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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
Hardback. Condition: New. New copy - Usually dispatched within 4 working days.
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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
Taschenbuch. Condition: Neu. Parallel Computing for Data Science | With Examples in R, C++ and CUDA | Norman Matloff | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2020 | Chapman and Hall/CRC | EAN 9780367738198 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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Condition: 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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Buch. 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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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Parallel Computing for Data Science
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Parallel Computing for Data Science
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. 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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Condition: 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.
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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
Taschenbuch. 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.
