Unsupervised learning

Instead of being told what’s right or wrong, the model explores the data and looks for things that naturally group together, like clustering similar news articles or spotting unusual behavior in a system. It’s especially useful for tasks like anomaly detection, clustering, and topic modeling, where the goal is to organize or explore data, not make specific predictions.