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Building Production Recommendation Systems in Python and JAX (Early Release)

Building Production Recommendation Systems in Python and JAX (Early Release)

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[ DevCourseWeb.com ] Building Production Recommendation Systems in Python and JAX (Early Release)



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English | 2023 | ISBN: 9781492097983 | 79 pages | True EPUB, MOBI | 9.66 MB



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.



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We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...



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File list
  • Building Production Recommendation Systems in Python and JAX (Early Release)
  • ~Get Your Files Here !/Bonus Resources.txt 386 B
  • ~Get Your Files Here !/Building Recommendation Systems in Python and JAX.epub 8 MB
  • ~Get Your Files Here !/Building Recommendation Systems in Python and JAX.mobi 1.6 MB

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