What does Unsupervised Learning mean? Definition | AI Understanding

Definition

Learning patterns from unlabeled data without explicit target outputs.

Related terms

Continual Learning

Training approaches that let a model keep learning from new data without forgetting prior knowledge.

The process of assigning tags or target outputs to raw data for supervised learning.

Machine Learning (ML)

Methods that allow systems to learn patterns from data and improve over time.

Self-Supervised Learning

Learning representations from unlabeled data by predicting masked or transformed parts.

Algorithmic Bias

Systematic unfairness in model outputs caused by skewed data, assumptions, or modeling choices.

In-Context Learning

A model's ability to follow patterns from examples provided directly in the prompt.

Learn more in our free guides

Deep Learning Reinforcement Learning Machine Learning Basics Supervised Learning

See also

Training Loss Validation Set Transformer Vector Database Transfer Learning Vision-Language Model (VLM)Top-p (Nucleus) Sampling Weak Supervision

Browse the full AI Glossary Explore all free AI guides