Beginner · Fundamentals

Unsupervised Machine Learning

Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.

TL;DR. A type of ML where models find patterns in unlabeled data without explicit guidance.

Technical Definition

A type of ML where models find patterns in unlabeled data without explicit guidance.

How it works

Unsupervised Machine Learning is used when an algorithm is presented with data that has no labels or explicit desired outputs. The model's task is to uncover hidden structures, relationships, or groupings within the data on its own. Common applications include customer segmentation and anomaly detection.

Related Concepts

• Clustering — An unsupervised technique that groups similar data points without using labels.
• Supervised Learning — Learning from input–output pairs where each training example carries a correct label.
• Dimensionality reduction — The process of reducing the number of features or variables in a dataset while retaining essential information.