A Machine Learning Model Monitoring Checklist: 7 Things to Track - KDnuggets

It is not easy to build a machine learning model. It is even harder to deploy a service in production. But even if you managed to stick all the pipelines together, things do not stop here. Once the model is in use, we immediately have to think about operating it smoothly. It is now delivering the business value, after all!