Learning Ray

Flexible Distributed Python for Machine Learning

von Richard Liaw, Max Pumperla, Edward Oakes

271 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

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.