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Deploying and automating the process of updating the model with real-time data.
Incremental learning refers to the process of training a machine learning model with new data without having to retrain the entire model from scratch. This is particularly useful for datasets that are constantly changing or for situations where it's not feasible to store and process all the data at once.
Continuously monitor the model's performance and the system's health. If the model's performance drops, or if there are any issues with the system, we have to know about it as soon as possible so that we can take corrective action.