Unsupervised Learning

Unsupervised learning is a type of machine learning where the AI is given data without any labels or correct answers. Instead of being told what to look for, the AI tries to find patterns, similarities, or groupings on its own. For example, it might notice that certain types of customers tend to buy the same products, even if no one pointed that out beforehand.

This type of learning is useful for discovering hidden structures in data, such as customer segments, trends, or unusual behavior. It is often used in recommendation systems, market analysis, and detecting fraud or anomalies. Because it doesn’t require labeled data, it can work well with large and messy datasets.