Unsupervised learning is a machine learning method where the model is trained without labels – there are no predefined correct answers. Instead, the model independently searches for structures, patterns, or groupings in the data. Applications include clustering (customer segmentation), anomaly detection (fraud detection), or dimensionality reduction.
In short
What is unsupervised learning?
Unsupervised learning is an ML method where the model is trained without labels. It independently searches for structures and patterns in the data. Applications include clustering (customer segmentation), anomaly detection (fraud), or dimensionality reduction.
Using AI in your organisation?
We show you which applications are worth it for your organisation.