11
Lesson 11 of 20 · Learning from Examples
MLOps and deployment
MLOps applies DevOps practices to ML: version control for data and models, CI/CD for training, and monitoring for model drift in production.
- MLOps manages the ML lifecycle.
- Monitoring detects model drift in production.
Think about it
What is meta-learning?