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Synopsis
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...
About the Authors
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.
Edward Oakes (ed.nmi.oakes@gmail.com), writing...
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- PublisherO'Reilly Media
- Publication date2023
- ISBN 10 1098117220
- ISBN 13 9781098117221
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages271
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