Recently Viewed

New

Learning Ray: Flexible Distributed Python for Machine Learning Max Pumperla 9781098117221

No reviews yet Write a Review
RRP: €63.06
Booksplease Price: €40.71
Booksplease saves you

  Delivery: We ship to over 200 countries from the UK
  Range: Millions of books available
  Reviews: Booksplease rated "Excellent" on Trustpilot

  FREE UK DELIVERY: When you buy 3 or more books on Booksplease - Use code: FREEUKDELIVERY in your cart!

SKU:
9781098117221
MPN:
9781098117221
Available from Booksplease!
Availability: Usually dispatched within 5 working days

Frequently Bought Together:

Total: Inc. VAT
Total: Ex. VAT

Description

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 to build machine learning applications with Ray. You'll understand how Ray fits into the current landscape of machine learning tools and discover how Ray continues to integrate ever more tightly with these tools. Distributed computation is hard, but by using Ray you'll find it easy to get started. Learn how to build your first distributed applications with Ray Core Conduct hyperparameter optimization with Ray Tune Use the Ray RLlib library for reinforcement learning Manage distributed training with the Ray Train library Use Ray to perform data processing with Ray Datasets Learn how work with Ray Clusters and serve models with Ray Serve Build end-to-end machine learning applications with Ray AIR

About the Author
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 chapters 7 (data) & 9 (serving): "Edward is a software engineer and team lead at Anyscale, where he leads the development of Ray Serve and is one of the top open source contributors to Ray. Prior to Anyscale, he was a graduate student in the EECS department at UC Berkeley." RIchard Liaw (rliaw@berkeley.edu), writing chapters 6 (training) & 8 (clusters): Richard Liaw is a software engineer at Anyscale, working on open source tools for distributed machine learning. He is on leave from the PhD program at the Computer Science Department at UC Berkeley, advised by Joseph Gonzalez, Ion Stoica, and Ken Goldberg.


Book Information
ISBN 9781098117221
Author Max Pumperla
Format Paperback
Page Count 271
Imprint O'Reilly Media
Publisher O'Reilly Media
Weight(grams) 440g
Dimensions(mm) 233mm * 178mm * 15mm

Reviews

No reviews yet Write a Review

Booksplease  Reviews


J - United Kingdom

Fast and efficient way to choose and receive books

This is my second experience using Booksplease. Both orders dealt with very quickly and despatched. Now waiting for my next read to drop through the letterbox.

J - United Kingdom

T - United States

Will definitely use again!

Great experience and I have zero concerns. They communicated through the shipping process and if there was any hiccups in it, they let me know. Books arrived in perfect condition as well as being fairly priced. 10/10 recommend. I will definitely shop here again!

T - United States

R - Spain

The shipping was just superior

The shipping was just superior; not even one of the books was in contact with the shipping box -anywhere-, not even a corner or the bottom, so all the books arrived in perfect condition. The international shipping took around 2 weeks, so pretty great too.

R - Spain

J - United Kingdom

Found a hard to get book…

Finding a hard to get book on Booksplease and with it not being an over inflated price was great. Ordering was really easy with updates on despatch. The book was packaged well and in great condition. I will certainly use them again.

J - United Kingdom