The ML Lifecycle in One Picture
Data, train, evaluate, deploy, monitor, retrain as a loop.
One Big Loop
The whole ML lifecycle fits in one picture: data, train, evaluate, deploy, monitor, retrain. It is not a line, it is a circle that keeps turning. 🔄
It Starts with Data
Every model begins with data: collecting it, cleaning it, and labeling it. Garbage in here means garbage everywhere downstream.
All lessons in this course
- MLOps vs Plain Machine Learning
- The ML Lifecycle in One Picture
- Who Does What: Roles in an ML Team
- Your MLOps Maturity Checklist