What is unsupervised learning and how is it used?

Unsupervised learning is a type of machine learning in which an algorithm examines data without labeled training samples or feedback. The goal is to find hidden patterns and relationships in the data. This is in contrast to supervised learning, where an algorithm learns from labeled inputs and outputs. Unsupervised learning algorithms are also called clustering…