# Are parametric method and supervised learning exactly the same?

Parametric methods make explicit assumptions about the functional form of $f$, and supervised learning are pretty the same right? It's a way to build a statistical model for predicting, or estimating, an output based on one or more inputs.

If they are the same, why would they have to create different names. Is there a reason behind this?