O'Reilly | Building Recommendation Systems In Python And Jax: Hands-On Production Systems At Scale (2024 EN)

Author: Bryan Bischof, Hector Yee
Full Title: Building Recommendation Systems In Python And Jax: Hands-On Production Systems At Scale
Publisher: O'Reilly Media; 1st edition (January 30, 2024)
Year: 2024
ISBN-13: 9781492097990
ISBN-10: 1492097993
Pages: 400
Language: English
Genre: IT: Machine learning
File type: EPUB (True), Code Files
Quality: 10/10
Price: $79.99


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 RecSys
✓ How to frame your data and business as a RecSys problem
✓ Ways to evaluate models appropriate for your system
✓ Methods to implement, train, test, and deploy the model you choose
✓ Metrics you need to track to ensure your system is working as planned
✓ How to improve your system as you learn more about your users, products, and business case

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