What is Inductive Learning?

Inductive learning is a type of machine learning that uses data to make predictions or generalizations about a given problem. It is based on the idea that if a set of data points have certain characteristics, then future data points will also have those characteristics.

This type of learning is used in many areas of machine learning and data science, such as supervised learning, unsupervised learning, and reinforcement learning. For example, in supervised learning, inductive learning can be used to build a model that can predict the outcome of a given problem based on the data it has been trained on.

In unsupervised learning, inductive learning can be used to identify patterns in data and make predictions about future data points. In reinforcement learning, inductive learning can be used to identify the best action to take in a given situation.