You should now have a better understanding of how to do the following:
- Validate input data and engineered data.
- Debug a ML model to make the model work.
- Optimize a working ML model.
- Discuss testing guidelines for ML models and pipelines.
- Monitor model metrics during development, launch, and production.
- View an end-to-end TFX example.
- Read papers by Googlers on productionizing ML: