Machine Learning Design Patterns Book by Michael Munn, Sara Robinson

Master the art of building scalable machine learning systems with this comprehensive guide by industry experts Michael Munn and Sara Robinson. This book explores proven design patterns that solve real-world ML challenges, from data pipeline architecture to model deployment and monitoring. Perfect for engineers and data scientists looking to move beyond basic ML concepts, this resource covers practical patterns for production environments, helping you design robust, maintainable systems that perform reliably at scale. Learn how to structure your ML projects for success and avoid common pitfalls in the development lifecycle.