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Machine Learning

What is unsupervised learning?

Unsupervised learning looks for structure in data without requiring a target label for every example.

✳ Beginner◷ 3 short lessons · learn at your paceTEXT-BASED LEARNING
Before you dive in: outcomes & prerequisites

No AI experience required. Start with the simple explanation.

A beginner learning path: understand the idea, follow an everyday example and check your understanding. Read the three lessons in order.

Start here · beginner

01 · Understand the idea

In simple words

Unsupervised learning looks for structure in data without requiring a target label for every example. Clustering and dimensionality reduction are common types. Finding a pattern does not tell you automatically what it means. Your features and assumptions influence the structure you see.

Words to know

Structure: patterns or relationships in data. Representation: how an item is described numerically.

Pause here and explain the definition in one sentence without copying it. The aim is to describe what the system does, not to memorise an impressive phrase.

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