Personalized Machine Learning

Discover the transformative potential of user data with Personalized Machine Learning by Julian McAuley, published by Cambridge University Press in 2022. This insightful hardback edition spans 350 pages and is designed for both practitioners and students who possess a foundational understanding of machine learning or data science.

In this comprehensive guide, McAuley delves into the intricacies of building predictive models and systems tailored to individual users. Explore a variety of engaging examples, from the algorithms that drive recommendations on platforms like Amazon and Netflix to more nuanced applications in personalized fashion, online dating, and health. Equip yourself with the knowledge to harness the power of personalization in your projects and enhance user experiences across diverse domains.