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Building Production Recommendation Systems In Python And JAX (Early Release)
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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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FILE LIST
Filename
Size
~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
