Hands-On Transfer Learning with Python

Formal definition

A formal definition of ML, as stated by Tom Mitchell, is explained as follows.

A computer program is said to learn from experience E with respect to some task T and some performance measure P, if its performance on T, as measured by P, improves with experience E.

This definition beautifully captures the essence of what ML is in a very concise manner. Let's take an example from the real world to understand it better. Let's consider a task (T) is to identify spam emails. We may now present many examples (or experiences E) to a system about spam and non-spam emails, from which it learns rather than being explicitly programmed. The program or system may then be measured for its performance (P) on the learned task of identifying ...