Shipping Machine Learning Systems
A Practical Guide to Building, Deploying, and Scaling in Production
Bridge between ML theory and production systems: planning, data, deployment, monitoring.
About the book
Cambridge University Press guide bridging theoretical ML and real-world production systems. Covers the ML lifecycle from planning and data management through model deployment, optimization, and monitoring—addressing practical challenges often overlooked in academic texts.
Summary
Summary coming soon!