Bekkerman Ron (37 results)
- Hardcover
- First Edition
Seller: Boards & Wraps, Baltimore, MD, U.S.A.Boards & Wraps
Contact seller4-star sellerCondition: Used - Very good
US$ 30.00
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Hardcover. Condition: Very Good+. 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.
- Hardcover
Seller: Anybook.com, Lincoln, United KingdomAnybook.com
Contact seller5-star sellerCondition: Used - Good
US$ 20.70
US$ 18.25 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Condition: 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.
- Hardcover
Seller: HPB-Red, Dallas, TX, U.S.A.HPB-Red
Contact seller5-star sellerCondition: Used - Good
US$ 64.55
US$ 3.75 shippingShips within U.S.A.Quantity: 1 available
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.
Scaling Up Machine Learning : Parallel and Distributed Approaches
Bekkerman, Ron (EDT); Bilenko, Mikhail (EDT); Langford, John (EDT)
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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US$ 75.02
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Condition: New.
- Softcover
Seller: California Books, Miami, FL, U.S.A.California Books
Contact seller4-star sellerCondition: New
US$ 78.00
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Condition: New.
Scaling up Machine Learning: Parallel and Distributed Approaches
Bekkerman, Ron [Editor]; Bilenko, Mikhail [Editor]; Langford, John [Editor];
- Hardcover
Seller: Real Books R Better, Thompsons Station, TN, U.S.A.Real Books R Better
Contact seller5-star sellerCondition: New
US$ 74.63
US$ 3.99 shippingShips within U.S.A.Quantity: 1 available
hardcover. Condition: New. BRAND NEW! Ships within 24 hours.
Scaling Up Machine Learning : Parallel and Distributed Approaches
Bekkerman, Ron (EDT); Bilenko, Mikhail (EDT); Langford, John (EDT)
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contact seller5-star sellerCondition: Used - As new
US$ 78.71
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Condition: As New. Unread book in perfect condition.
- Softcover
Seller: Chiron Media, Wallingford, , United KingdomChiron Media
Contact seller5-star sellerCondition: New
US$ 69.29
US$ 20.78 shippingShips from United Kingdom to U.S.A.Quantity: 10 available
Paperback. Condition: New.
- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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US$ 75.88
US$ 16.07 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
Condition: New. In.
Scaling Up Machine Learning : Parallel and Distributed Approaches
Bekkerman, Ron (EDT); Bilenko, Mikhail (EDT); Langford, John (EDT)
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: New
US$ 72.73
US$ 20.12 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
Condition: New.
- Softcover
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.
Contact seller5-star sellerCondition: New
US$ 88.64
US$ 12.17 shippingShips from Ireland to U.S.A.Quantity: Over 20 available
Condition: New. 2018. Reprint. Paperback. . . . . .
Scaling Up Machine Learning : Parallel and Distributed Approaches
Bekkerman, Ron (EDT); Bilenko, Mikhail (EDT); Langford, John (EDT)
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: Used - As new
US$ 83.42
US$ 20.12 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
Condition: As New. Unread book in perfect condition.
- Softcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
Contact seller4-star sellerCondition: New
US$ 106.39
US$ 3.99 shippingShips within U.S.A.Quantity: 4 available
Condition: New. Reprint edition rsity Press UK NO-PA16APR2015-KAP.
- Softcover
Seller: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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US$ 102.82
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Condition: New. 2018. Reprint. Paperback. . . . . . Books ship from the US and Ireland.
- Softcover
Seller: Revaluation Books, Exeter, , United KingdomRevaluation Books
Contact seller5-star sellerCondition: New
US$ 111.12
US$ 16.77 shippingShips from United Kingdom to U.S.A.Quantity: 2 available
Paperback. Condition: Brand New. 1st reprint edition. 492 pages. 9.88x7.01x1.50 inches. In Stock.
- Hardcover
Seller: California Books, Miami, FL, U.S.A.California Books
Contact seller4-star sellerCondition: New
US$ 146.00
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Condition: New.
- Hardcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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US$ 138.13
US$ 16.07 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
Condition: New. In.
- Hardcover
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.
Contact seller5-star sellerCondition: New
US$ 164.66
US$ 12.17 shippingShips from Ireland to U.S.A.Quantity: Over 20 available
Condition: 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 Educa…tion (US: College). Dimension: 256 x 185 x 31. Weight in Grams: 1078. . 2012. Illustrated. hardcover. . . . .
- Hardcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
Contact seller4-star sellerCondition: New
US$ 196.14
US$ 3.99 shippingShips within U.S.A.Quantity: 4 available
Condition: New. pp. 492.
- Hardcover
Seller: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
Contact seller5-star sellerCondition: New
US$ 192.20
US$ 10.50 shippingShips within U.S.A.Quantity: Over 20 available
Condition: 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 Educa…tion (US: College). Dimension: 256 x 185 x 31. Weight in Grams: 1078. . 2012. Illustrated. hardcover. . . . . Books ship from the US and Ireland.
Scaling Up Machine Learning: Parallel and Distributed Approaches
Bekkerman, Ron (Editor)/ Bilenko, Mikhail (Editor)/ Langford, John (Editor)
- Hardcover
Seller: Revaluation Books, Exeter, , United KingdomRevaluation Books
Contact seller5-star sellerCondition: New
US$ 203.97
US$ 20.12 shippingShips from United Kingdom to U.S.A.Quantity: 2 available
Hardcover. Condition: Brand New. 488 pages. 10.00x7.20x1.30 inches. In Stock.
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
US$ 194.94
US$ 76.00 shippingShips from Germany to U.S.A.Quantity: 1 available
Buch. Condition: 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.
- Hardcover
Seller: Mispah books, Redhill, SURRE, United KingdomMispah books
Contact seller4-star sellerCondition: Used - As new
US$ 261.16
US$ 33.54 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Hardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
- Softcover
- Print on Demand
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contact seller5-star sellerCondition: New
US$ 77.67
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Paperback. Condition: 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 enormou…s 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.
- Softcover
- Print on Demand
Seller: Revaluation Books, Exeter, , United KingdomRevaluation Books
Contact seller5-star sellerCondition: New
US$ 70.66
US$ 16.77 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Paperback. Condition: Brand New. 1st reprint edition. 492 pages. 9.88x7.01x1.50 inches. In Stock. This item is printed on demand.
- Softcover
- Print on Demand
Seller: THE SAINT BOOKSTORE, Southport, , United KingdomTHE SAINT BOOKSTORE
Contact seller5-star sellerCondition: New
US$ 75.57
US$ 26.74 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
- Softcover
- Print on Demand
Seller: Majestic Books, Hounslow, , United KingdomMajestic Books
Contact seller4-star sellerCondition: New
US$ 106.11
US$ 8.72 shippingShips from United Kingdom to U.S.A.Quantity: 4 available
Condition: New. Print on Demand.
- Softcover
- Print on Demand
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
Contact seller4-star sellerCondition: New
US$ 111.33
US$ 11.53 shippingShips from Germany to U.S.A.Quantity: 4 available
Condition: New. PRINT ON DEMAND.
- Softcover
- Print on Demand
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
Contact seller5-star sellerCondition: New
US$ 82.90
US$ 49.64 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Paperback. Condition: 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 enormou…s 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.
- Softcover
- Print on Demand
Seller: moluna, Greven, , Germanymoluna
Contact seller5-star sellerCondition: New
US$ 81.92
US$ 56.79 shippingShips from Germany to U.S.A.Quantity: Over 20 available
Condition: 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.
