Meaning of Unsupervised Learning

Simple definition

Unsupervised Learning is a type of machine learning where a model is trained using data without labels, allowing it to identify patterns or groupings on its own.

How to use Unsupervised Learning in a professional context

It’s used for clustering, anomaly detection, and data exploration in applications like customer segmentation and fraud detection.

Concrete example of Unsupervised Learning

Unsupervised learning can be used to segment customers into groups based on purchasing behavior without knowing beforehand what those groups are.