Before you leave...
Take 20% off your first order
20% off
Enter the code below at checkout to get 20% off your first order
Discover summer reading lists for all ages & interests!
Find Your Next Read

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:
Thanks for subscribing!
This email has been registered!
Take 20% off your first order
Enter the code below at checkout to get 20% off your first order