Description: About this Item The item is a book Paperback The Author Name is Richard Liaw The Title is Learning Ray : Flexible Distributed Python for Machine Learning Condition New Other Comments Pages Count - 271. Category - Computers Product 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 CoreConduct hyperparameter optimization with Ray TuneUse the Ray RLlib library for reinforcement learningManage distributed training with the Ray Train libraryUse Ray to perform data processing with Ray DatasetsLearn how work with Ray Clusters and serve models with Ray ServeBuild end-to-end machine learning applications with Ray AIR We Use Stock Images Because we have over 2 million items for sale we have to use stock images, this listing does not include the actual image of the item for sale. The purchase of this specific item is made with the understanding that the image shown in this listing is a stock image and not the actual item for sale. For example: some of our stock images include stickers, labels, price tags, hyper stickers, obi's, promotional messages, signatures and or writing which may not be available in the actual item. When possible we will add details of the items we are selling to help buyers know what is included in the item for sale. The details are provided automatically from our central master database and can sometimes be wrong. Books are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions. The Book you receive could be any of these editions or variations. If you are looking for a specific edition or version please contact us to verify what we are selling. Gift IdeasThis is a great Christmas gift idea. Hours of ServiceWe have many warehouses, some of the warehouses process orders seven days a week, but the Administration Support Staff are located at a head office location, outside of the warehouses, and typically work only Monday to Friday. Location ID 9000z iHaveit SKU ID 167444195
Price: 89.67 USD
Location: US
End Time: 2024-11-22T11:58:23.000Z
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Restocking Fee: No
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Item must be returned within: 30 Days
Refund will be given as: Money Back
Fiction/Non-Fiction: Non-Fiction
Genre/Subject: Computers
Brand: O'Reilly Media
Weight: 0.45
Style: NA
Title: Learning Ray Flexible Distributed Python for Machine Learning
Release Title: Learning Ray Flexible Distributed Python for Machine Learning
Record Grading: New
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Film/TV Title: Learning Ray Flexible Distributed Python for Machine Learning
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Movie/TV Title: Learning Ray Flexible Distributed Python for Machine Learning
UPC: 9781098117221
EAN: 9781098117221
ISBN: 9781098117221
Main Stone: NA
Metal Purity: NA
Metal: NA
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Number of Pages: 271 Pages
Publication Name: Learning Ray : Flexible Distributed Python for Machine Learning
Language: English
Publisher: O'reilly Media, Incorporated
Subject: Programming / Open Source, Data Processing, Databases / Data Mining, Programming Languages / Python
Item Height: 0.6 in
Publication Year: 2023
Type: Textbook
Item Weight: 17.1 Oz
Subject Area: Computers
Author: Richard Liaw, Edward Oakes, Max Pumperla
Item Length: 9.1 in
Item Width: 7.1 in
Format: Trade Paperback
