Description: Building Recommendation Systems in Python and Jax by Bryan Bischof, Hector Yee Estimated delivery 3-12 business days Format Paperback Condition Brand New Description 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. Youll learn the math, ideas, and implementation details you need to succeed. Publisher 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. Youll 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, and Weights & Biases.Youll 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 caseAbout the AuthorsDr. Bryan Bischof is the Head of Data Science at Weights and Biases, and an adjunct professor in the Rutgers Master of Business and Analytics program where he teaches Data Science. He has previously built recommendation systems for clothing (at Stitch Fix), and built the worlds first recommendation system for coffee (at Blue Bottle Coffee). His research interests are in geometric methods for ML, including higher order graph methods and topological features. His data visualization work appeared in the popular book The Day it Finally Happens by Mike Pearl. His Ph.D. is in pure mathematics.Hector Yee is a Staff Software engineer at Google, where he has worked on multiple projects including creating the first content based ranker on Image Search, the self driving car perception, and writing the YouTube recommender system. He has won a technical Emmy for his work on personalized video ranking technology. He has an M.S. in computer graphics. Author Biography Dr. Bryan Bischof is the Head of Data Science at Weights and Biases, and an adjunct professor in the Rutgers Master of Business and Analytics program where he teaches Data Science. He has previously built recommendation systems for clothing (at Stitch Fix), and built the worlds first recommendation system for coffee (at Blue Bottle Coffee). His research interests are in geometric methods for ML, including higher order graph methods and topological features. His data visualization work appeared in the popular book The Day it Finally Happens by Mike Pearl. His Ph.D. is in pure mathematics. Hector Yee is a Staff Software engineer at Google, where he has worked on multiple projects including creating the first content based ranker on Image Search, the self driving car perception, and writing the YouTube recommender system. He has won a technical Emmy for his work on personalized video ranking technology. He has an M.S. in computer graphics. Details ISBN 1492097993 ISBN-13 9781492097990 Title Building Recommendation Systems in Python and Jax Author Bryan Bischof, Hector Yee Format Paperback Year 2023 Pages 400 Publisher OReilly Media GE_Item_ID:158018489; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 65.4 USD
Location: Fairfield, Ohio
End Time: 2024-12-21T03:02:43.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
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
ISBN-13: 9781492097990
Book Title: Building Recommendation Systems in Python and Jax
Number of Pages: 400 Pages
Publication Name: Building Recommendation Systems in Python and Jax : Hands-On Production Systems at Scale
Language: English
Publisher: O'reilly Media, Incorporated
Publication Year: 2024
Item Height: 0.9 in
Subject: Software Development & Engineering / General, Web / Web Services & APIs, Intelligence (Ai) & Semantics, Programming Languages / Python, Logic Design
Type: Textbook
Item Weight: 22.4 Oz
Subject Area: Computers
Item Length: 9.2 in
Author: Hector Yee, Bryan Bischof
Item Width: 7 in
Format: Trade Paperback
