Librería: HPB-Red, Dallas, TX, Estados Unidos de America
EUR 9,70
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Añadir al carritopaperback. Condición: 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!
Publicado por Apress
Librería: Academic Book Solutions, Medford, NY, Estados Unidos de America
EUR 9,70
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Añadir al carritopaperback. Condición: Acceptable. A readable copy. All pages are intact, and the cover is intact (the dust cover may be missing). Pages can include notes--in pen or highlighter.
Publicado por Apress
Librería: Academic Book Solutions, Medford, NY, Estados Unidos de America
EUR 10,59
Cantidad disponible: 1 disponibles
Añadir al carritopaperback. Condición: VeryGood. A copy that may have been read, very minimal wear and tear. May have a remainder mark.
Librería: Austin Goodwill 1101, Austin, TX, Estados Unidos de America
EUR 21,65
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Añadir al carritoCondición: acceptable. Book shows noticeable wear from use. May include writing, highlighting, or other markings, but not excessive. Cover or edges may have visible wear. The book remains complete and fully readable.
Librería: 2nd Life Books, Burlington, NJ, Estados Unidos de America
EUR 21,51
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Añadir al carritoCondición: good. Used book in good condition. May have some wear to binding, spine, cover, and pages. Some light highlighting markings writing may be present. May have some stickers and or sticker residue present. May be Ex-lib. copy. May NOT include discs, or access code or other supplemental material. We ship Monday-Saturday and respond to inquiries within 24 hours.
Idioma: Inglés
Publicado por O'Reilly Media (edition 1), 2023
ISBN 10: 1098117220 ISBN 13: 9781098117221
Librería: BooksRun, Philadelphia, PA, Estados Unidos de America
EUR 28,53
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: 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.
Idioma: Inglés
Publicado por O'Reilly Media (edition 1), 2023
ISBN 10: 1098117220 ISBN 13: 9781098117221
Librería: BooksRun, Philadelphia, PA, Estados Unidos de America
EUR 28,53
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Añadir al carritoPaperback. Condición: 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.
Librería: HPB-Red, Dallas, TX, Estados Unidos de America
EUR 27,22
Cantidad disponible: 1 disponibles
Añadir al carritopaperback. Condición: 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!
Librería: Burke's Books, Eugene, OR, Estados Unidos de America
Original o primera edición
EUR 27,34
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: As New. 1st Edition.
Librería: thebookforest.com, San Rafael, CA, Estados Unidos de America
EUR 36,26
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Añadir al carritoCondición: New. Well packaged and promptly shipped from California. Partnered with Friends of the Library since 2010.
Idioma: Inglés
Publicado por Manning Publications 1/25/2019, 2019
ISBN 10: 1617295329 ISBN 13: 9781617295324
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
EUR 41,02
Cantidad disponible: 5 disponibles
Añadir al carritoPaperback or Softback. Condición: New. Deep Learning and the Game of Go. Book.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 40,54
Cantidad disponible: 2 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por O'Reilly Media 3/21/2023, 2023
ISBN 10: 1098117220 ISBN 13: 9781098117221
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
EUR 42,88
Cantidad disponible: 5 disponibles
Añadir al carritoPaperback or Softback. Condición: New. Learning Ray: Flexible Distributed Python for Machine Learning. Book.
Librería: Lakeside Books, Benton Harbor, MI, Estados Unidos de America
EUR 39,52
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: 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 43,22
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
EUR 48,33
Cantidad disponible: Más de 20 disponibles
Añadir al carritoPaperback. Condición: 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.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 48,52
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Añadir al carritoCondición: New.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 46,25
Cantidad disponible: 2 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 48,00
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Añadir al carritoCondición: New.
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 47,35
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Añadir al carritoCondición: New.
EUR 47,07
Cantidad disponible: 2 disponibles
Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 53,81
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por O'Reilly Media, Sebastopol, 2023
ISBN 10: 1098117220 ISBN 13: 9781098117221
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 54,40
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: new. Paperback. 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 Core Conduct hyperparameter optimization with Ray Tune Use the Ray RLlib library for reinforcement learning Manage distributed training with the Ray Train library Use Ray to perform data processing with Ray Datasets Learn how work with Ray Clusters and serve models with Ray Serve Build end-to-end machine learning applications with Ray AIR 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
EUR 41,61
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
EUR 41,55
Cantidad disponible: 1 disponibles
Añadir al carritoSoft cover. Condición: As New. As new copy. A tight, bright, and clean copy with no inscriptions, no annotations/notes, and no foxing to pages. Fantastic condition book. 350pp. (19x23.5cm). Please contact us for any more information.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 54,74
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. pp. 340.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 59,10
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Añadir al carritoCondición: New.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 56,90
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
EUR 60,53
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: 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.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 43,44
Cantidad disponible: 9 disponibles
Añadir al carritoCondición: New.