A Beginner's Guide to End to End Machine Learning - KDnuggets

Supervised machine learning is a technique that maps a series of inputs (X) to some known outputs (y) without being explicitly programmed. Training a machine learning model refers to the process where a machine learns a mapping between X and y. Once trained the model can be used to make predictions on new inputs where the output is unknown. The training of a machine learning model is only one element of the end to end machine learning lifecycle. For a model to be truly useful this mapping needs to be stored and deployed for use.