Read time: 5 minutes Most Machine Learning courses give you: a dataset with features (aka model inputs) and a target metric (aka model outputs) an error metric to optimize (e.g. accuracy) and they show you how to build the best possible model, that is, the mapping from features to targets that minimizes the error metric.