Meaning of Unsupervised Learning

Simple definition

Unsupervised Learning is a type of machine learning where models are trained on data without labeled outcomes, allowing them to find patterns or groupings in the data on their own.

How to use Unsupervised Learning in a professional context

It’s used in clustering, anomaly detection, and dimensionality reduction tasks.

Concrete example of Unsupervised Learning

Unsupervised learning can be used to group customers into segments based on their purchasing behavior without predefined categories.