Edward Oakes: Learning Ray | Taschenbuch - Cellestria

Cover: 9781098117221 | Learning Ray | Flexible Distributed Python for Machine Learning | Buch

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Sprache: Englisch

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Beschreibung

Get started with Ray, the open source distributed computer framework that simplifies the process of scaling comute-intensive Python workloads. With this practical book, Python programmers, data engineers, and data scientists will learn how to leverage Ray locally and spin with compute clusters. You'll be able to use Ray to structure and run machine learning programs at scale.

Get started with Ray, the open source distributed computer framework that simplifies the process of scaling comute-intensive Python workloads. With this practical book, Python programmers, data engineers, and data scientists will learn how to leverage Ray locally and spin with compute clusters. You'll be able to use Ray to structure and run machine learning programs at scale.

Über den Autor

Max 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 currently works as software engineer at Anyscale. As head of product research at Pathmind Inc. he was developing reinforcement learning solutions for industrial applications at scale using Ray RLlib, Serve and Tune.

Details

Erscheinungsjahr:	2023
Fachbereich:	Programmiersprachen
Genre:	Importe , Informatik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Inhalt:	Einband - flex.(Paperback)
ISBN-13:	9781098117221
ISBN-10:	1098117220
Sprache:	Englisch
Einband:	Kartoniert / Broschiert
Autor:	Oakes, Edward Pumperla, Max Liaw, Richard
Hersteller:	O'Reilly Media
Verantwortliche Person für die EU:	Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße:	231 x 177 x 16 mm
Von/Mit:	Edward Oakes (u. a.)
Erscheinungsdatum:	03.03.2023
Gewicht:	0,492 kg

Artikel-ID: 125660385

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