Description: About this Item The item is a book Paperback The Author Name is Hector Yee The Title is Building Recommendation Systems in Python and Jax : Hands-On Production Systems at Scale Condition New Other Comments Pages Count - 400. Category - Computers Product Description - Implementing and designing systems that make suggestions to users are among the most popular and essential machine learning applications available. Whether you want customers to find the most appealing items at your online store, videos to enrich and entertain them, or news they need to know, recommendation systems RecSys provide the way. In this practical book, authors Bryan Bischof and Hector Yee illustrate the core concepts and examples to help you create a RecSys for any industry or scale. You'll learn the math, ideas, and implementation details you need to succeed. This book includes the RecSys platform components, relevant MLOps tools in your stack, plus code examples and helpful suggestions in PySpark, SparkSQL, FastAPI, Weights & Biases, and Kafka. You'll learn:The data essential for building a RecSysHow to frame your data and business as a RecSys problemWays to evaluate models appropriate for your systemMethods to implement, train, test, and deploy the model you chooseMetrics you need to track to ensure your system is working as plannedHow to improve your system as you learn more about your users, products, and business case 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 167505302
Price: 107.93 USD
Location: US
End Time: 2024-11-22T12:36:14.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
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: 0.56
Style: NA
Title: Building Recommendation Systems in Python and Jax Hands-On Prod
Release Title: Building Recommendation Systems in Python and Jax Hands-On Prod
Record Grading: New
Sleeve Grading: New
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Film/TV Title: Building Recommendation Systems in Python and Jax Hands-On Pro
Colour: NA
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Movie/TV Title: Building Recommendation Systems in Python and Jax Hands-On Pro
UPC: 9781492097990
EAN: 9781492097990
ISBN: 9781492097990
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Metal: NA
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Model: NA
Number of Pages: 400 Pages
Language: English
Publication Name: Building Recommendation Systems in Python and Jax : Hands-On Production Systems at Scale
Publisher: O'reilly Media, Incorporated
Subject: Software Development & Engineering / General, Web / Web Services & APIs, Intelligence (Ai) & Semantics, Programming Languages / Python, Logic Design
Item Height: 0.9 in
Publication Year: 2024
Item Weight: 22.4 Oz
Type: Textbook
Author: Hector Yee, Bryan Bischof
Item Length: 9.2 in
Subject Area: Computers
Item Width: 7 in
Format: Trade Paperback
