1. Data
2. Training
3. Deployment
4. Parameters
5. Accuracy
Putting a model into use.
Information collected for analysis.
Settings that control how a model works.
Process of teaching a model to learn.
How correct the modelโs predictions are.
Drag the cards on the right so each lines up with the correct item on the left.
