Continuous machine learning technology allows updating the machine learning system at every instance. In a continuous frame of operation, we accept that change is inevitable, models updated automatically at every instance are always ready, make fewer mistakes and allow more business benefits.

On UCI Bank Marketing data, we compare batch and continuous machine learning and demonstrate the benefit of continuous learning. The continuous machine learning model identifies which customers would accept the offer when called twice more than the batch machine learning model. Using understandable model explanations, we also explain what changes in terms of features used and the machine learning model as the data change.