Max Pumperla, Edward Oakes, Richard Liaw

Broschiertes Buch

Learning Ray

Flexible Distributed Python for Machine Learning

Beschreibung

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.

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.

Produktdetails

• Verlag: O'Reilly Media
• Seitenzahl: 271
• Erscheinungstermin: 3. März 2023
• Englisch
• Abmessung: 231mm x 177mm x 16mm
• Gewicht: 488g
• ISBN-13: 9781098117221
• ISBN-10: 1098117220
• Artikelnr.: 66129080