Cover -- Title Page -- Copyright Page -- Contents -- Introduction -- Acknowledgments -- About the Authors -- About the Technical Editor -- Chapter 1 A Gentle Introduction to Modern Machine Learning -- Data Science Is Diverging from Business Intelligence -- From CRISP-DM to Modern, Multicomponent ML Systems -- The Emergence of LLMs Has Increased ML's Power and Complexity -- What You Can Expect from This Book -- Chapter 2 An End-to-End Approach -- Components of a YouTube Search Agent -- Principles of a Production Machine Learning System -- Observability -- Reproducibility -- Interoperability -- Scalability -- Improvability -- A Note on Tools -- Chapter 3 A Data-Centric View -- The Emergence of Foundation Models -- The Role of Off-the-Shelf Components -- The Data-Driven Approach -- A Note on Data Ethics -- Building the Dataset -- Working with Vector Databases -- Data Versioning and Management