Here, we'll outline the ML process's steps. Therefore, we have both data and labels. Provide these to the ML trainer. The trainer creates rules based on the input data and output labels that correspond to it. Thus, this provides us with a model or set of rules; the model is nothing more than the mapping of input to output. Once we have this specific model, we can take additional data and run it through the model to receive the results. We can see that once we have the model, the procedure follows exactly the same guidelines as in the world of programming because once I have the model, I am able to calculate the correct formula to transfer the input to the output.