MLOps
Business & Strategy
DevOps for machine learning
What is MLOps?
Practices for deploying, monitoring, and maintaining ML models in production. Includes versioning, monitoring, retraining.
Real-World Examples
- •Model deployment pipelines
- •Monitoring model drift
- •A/B testing models
- •Automated retraining
When to Use This
Essential for production ML systems
Related Terms
Learn more about concepts related to MLOps