Learning Ray : Flexible Distributed Python for Machine Learning, Paperback by...

Description: Learning Ray : Flexible Distributed Python for Machine Learning, Paperback by Pumperla, Max; Oakes, Edward; Liaw, Richard, ISBN 1098117220, ISBN-13 9781098117221, Brand New, Free shipping in the US Get started with Ray, the open source distributed computing framework that greatly 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 reinforcement learning applications that serve trained models with Ray. You'll understand how Ray fits into the current landscape of data science tools and discover how this programming language continues to integrate ever more tightly with these tools. Distributed computation is hard, but with Ray you'll find it easy to get started.Learn how to build your first distributed application with Ray CoreConduct hyperparameter optimization with Ray TuneUse the Ray RLib library for reinforcement learningManage distributed training with the RaySGD library Use Ray to perform data processing Learn how work with Ray Clusters and serve models with Ray ServeBuild an end-to-end machine learning application with Ray

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End Time: 2024-09-03T18:53:18.000Z

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Book Title: Learning Ray : Flexible Distributed Python for Machine Learning

Number of Pages: 271 Pages

Language: English

Publication Name: Learning Ray : Flexible Distributed Python for Machine Learning

Publisher: O'reilly Media, Incorporated

Publication Year: 2023

Item Height: 0.6 in

Subject: Programming / Open Source, Data Processing, Databases / Data Mining, Programming Languages / Python

Item Weight: 17.1 Oz

Type: Textbook

Item Length: 9.1 in

Author: Richard Liaw, Edward Oakes, Max Pumperla

Subject Area: Computers

Item Width: 7.1 in

Format: Trade Paperback