Machine Learning - Visualized

In the traditional hard-coded approach, we program a computer to perform a certain task. We tell it exactly what to do when it receives a certain input. In mathematical terms, this is like saying that we write the f(x) such that when users feed the input x into f(x), it gives the correct output y. In machine learning, however, we have a large set of inputs x and corresponding outputs y but not the function f(x). The goal here is to find the f(x) that transforms the input x into the output y.