Description: FREE SHIPPING UK WIDE Building Recommendation Systems in Python and Jax by Bryan Bischof, Hector Yee 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. FORMAT Paperback CONDITION Brand New 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 ISBN1492097993 Author Hector Yee Pages 400 Publisher OReilly Media ISBN-13 9781492097990 Format Paperback Imprint OReilly Media Subtitle Hands-On Production Systems at Scale Place of Publication Sebastopol Country of Publication United States AU Release Date 2024-01-30 NZ Release Date 2024-01-30 UK Release Date 2024-01-30 ISBN-10 1492097993 Year 2023 Publication Date 2023-12-19 US Release Date 2023-12-19 DEWEY 025.04 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! 30 DAY RETURN POLICY No questions asked, 30 day returns! FREE DELIVERY No matter where you are in the UK, delivery is free. SECURE PAYMENT Peace of mind by paying through PayPal and eBay Buyer Protection TheNile_Item_ID:157814563;
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