We have highlighted three types of data—training, input, and feedback data. Training data is used to build a prediction machine. Input data is used to power it to produce predictions. Feedback data is used to improve it. Only the two latter types are needed for future use. Training data is used at the beginning to train an algorithm, but once the prediction machine is running, it is not useful anymore.
