Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps: Lakshmanan, Valliappa, Robinson, Sara, Munn, Michael: 9781098115784: Amazon.com: Books

In engineering disciplines, design patterns capture best practices and solutions to commonly occurring problems. They codify the knowledge and experience of experts into advice that all practitioners can follow. This book is a catalog of machine learning design patterns that we have observed in the course of working with hundreds of machine learning teams. Who Is This Book For? Introductory machine learning books usually focus on the what and how of machine learning (ML). They then explain the mathematical aspects of new methods from AI research labs and teach how to use AI frameworks to implement these methods.