Designing Machine Learning Systems

A comprehensive guide to designing and building scalable, maintainable, and production-ready machine learning systems. The book covers the end-to-end ML lifecycle, from data management and feature engineering to model deployment, monitoring, and continuous improvement. Written by Chip Huyen, it emphasizes practical patterns for iterative development.