Inductive reasoning is a method of drawing conclusions by going from the specific to the general. It's usually contrasted with deductive reasoning, where you go from general information to specific conclusions. Inductive reasoning is also called inductive logic or bottom-up reasoning.

Inductive Reasoning | Types, Examples, Explanation

In machine learning and data science, this process might be referred to as "model fitting," where a statistical model or machine learning algorithm is tuned to predict or explain the observed data as accurately as possible.