Publisher's Synopsis
From Data to Personalization - Build Smart Systems That Recommend What Matters.
Building a Recommendation Engine with Machine Learning is your hands-on guide to creating personalized, intelligent recommendation systems that power apps like Netflix, Amazon, and Spotify. This book walks you through the algorithms, tools, and techniques needed to build real-world recommendation engines - from scratch and with modern ML libraries.
Whether you're a developer, data scientist, or machine learning enthusiast, you'll learn how to implement collaborative filtering, content-based filtering, and hybrid models, while handling scalability, user cold starts, and performance optimization.
