Da: 2nd Life Books, Burlington, NJ, U.S.A.
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Lingua: Inglese
Editore: O'Reilly Media (edition 1), 2023
ISBN 10: 1098117220 ISBN 13: 9781098117221
Da: BooksRun, Philadelphia, PA, U.S.A.
Paperback. Condizione: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
paperback. Condizione: 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!
Lingua: Inglese
Editore: O'Reilly Media (edition 1), 2023
ISBN 10: 1098117220 ISBN 13: 9781098117221
Da: BooksRun, Philadelphia, PA, U.S.A.
Paperback. Condizione: As New. 1. It's a preowned item in almost perfect condition. It has no visible cosmetic imperfections. May come without any shrink wrap; pages are clean and not marred by notes or folds of any kind.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Da: Lakeside Books, Benton Harbor, MI, U.S.A.
EUR 40,25
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!
EUR 44,79
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. Get started with Ray, the open source distributed computing framework that simplifies the process of scaling compute-intensive Python workloads. With this practical book, Python programmers, data engineers, and data scientists will learn how to leverage Ray locally and spin up compute clusters. You'll be able to use Ray to structure and run machine learning programs at scale.Authors Max Pumperla, Edward Oakes, and Richard Liaw show you how to build machine learning applications with Ray. You'll understand how Ray fits into the current landscape of machine learning tools and discover how Ray continues to integrate ever more tightly with these tools. Distributed computation is hard, but by using Ray you'll find it easy to get started.Learn how to build your first distributed applications with Ray CoreConduct hyperparameter optimization with Ray TuneUse the Ray RLlib library for reinforcement learningManage distributed training with the Ray Train libraryUse Ray to perform data processing with Ray DatasetsLearn how work with Ray Clusters and serve models with Ray ServeBuild end-to-end machine learning applications with Ray AIR.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
EUR 56,21
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New. Get started with Ray, the open source distributed computing framework that simplifies the process of scaling compute-intensive Python workloads. With this practical book, Python programmers, data engineers, and data scientists will learn how to leverage Ray locally and spin up compute clusters. You'll be able to use Ray to structure and run machine learning programs at scale.Authors Max Pumperla, Edward Oakes, and Richard Liaw show you how to build machine learning applications with Ray. You'll understand how Ray fits into the current landscape of machine learning tools and discover how Ray continues to integrate ever more tightly with these tools. Distributed computation is hard, but by using Ray you'll find it easy to get started.Learn how to build your first distributed applications with Ray CoreConduct hyperparameter optimization with Ray TuneUse the Ray RLlib library for reinforcement learningManage distributed training with the Ray Train libraryUse Ray to perform data processing with Ray DatasetsLearn how work with Ray Clusters and serve models with Ray ServeBuild end-to-end machine learning applications with Ray AIR.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 42,63
Quantità: 9 disponibili
Aggiungi al carrelloCondizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 48,36
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: Chiron Media, Wallingford, Regno Unito
EUR 46,13
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 50,13
Quantità: 9 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Revaluation Books, Exeter, Regno Unito
EUR 64,40
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 250 pages. 9.19x7.00x0.58 inches. In Stock.
EUR 72,54
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
EUR 45,72
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. Get started with Ray, the open source distributed computing framework that simplifies the process of scaling compute-intensive Python workloads. With this practical book, Python programmers, data engineers, and data scientists will learn how to leverage Ray locally and spin up compute clusters. You'll be able to use Ray to structure and run machine learning programs at scale.Authors Max Pumperla, Edward Oakes, and Richard Liaw show you how to build machine learning applications with Ray. You'll understand how Ray fits into the current landscape of machine learning tools and discover how Ray continues to integrate ever more tightly with these tools. Distributed computation is hard, but by using Ray you'll find it easy to get started.Learn how to build your first distributed applications with Ray CoreConduct hyperparameter optimization with Ray TuneUse the Ray RLlib library for reinforcement learningManage distributed training with the Ray Train libraryUse Ray to perform data processing with Ray DatasetsLearn how work with Ray Clusters and serve models with Ray ServeBuild end-to-end machine learning applications with Ray AIR.
EUR 57,74
Quantità: 2 disponibili
Aggiungi al carrelloKartoniert / Broschiert. Condizione: New. Über den AutorMax Pumperla is a data science professor and software engineer located in Hamburg, Germany. He s an active open source contributor, maintainer of several Python packages, and author of machine learning books. He curren.
EUR 51,00
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New. Get started with Ray, the open source distributed computing framework that simplifies the process of scaling compute-intensive Python workloads. With this practical book, Python programmers, data engineers, and data scientists will learn how to leverage Ray locally and spin up compute clusters. You'll be able to use Ray to structure and run machine learning programs at scale.Authors Max Pumperla, Edward Oakes, and Richard Liaw show you how to build machine learning applications with Ray. You'll understand how Ray fits into the current landscape of machine learning tools and discover how Ray continues to integrate ever more tightly with these tools. Distributed computation is hard, but by using Ray you'll find it easy to get started.Learn how to build your first distributed applications with Ray CoreConduct hyperparameter optimization with Ray TuneUse the Ray RLlib library for reinforcement learningManage distributed training with the Ray Train libraryUse Ray to perform data processing with Ray DatasetsLearn how work with Ray Clusters and serve models with Ray ServeBuild end-to-end machine learning applications with Ray AIR.
Lingua: Inglese
Editore: Warrendale: Metallurgical Society, 1996
ISBN 10: 0873393279 ISBN 13: 9780873393270
Da: Plurabelle Books Ltd, Cambridge, Regno Unito
Membro dell'associazione: GIAQ
EUR 142,45
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: Very Good. 482p large format hardback with green cloth binding, gilt lettering, excellent copy, no faults Language: English.
Da: Revaluation Books, Exeter, Regno Unito
EUR 59,43
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 250 pages. 9.19x7.00x0.58 inches. In Stock. This item is printed on demand.