Best Practices

This part examines how machine learning systems are deployed and maintained in real-world settings. Topics include system operations, on-device learning, privacy and security, sustainability, and robustness. The chapters highlight common challenges encountered during deployment and outline best practices for managing system behavior across diverse and dynamic environments. The material emphasizes engineering decisions that affect reliability, fairness, and long-term maintainability.