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✳AI UNIVERSITYBY COMMONJOBS
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

02 · See it in action

A familiar example

Sort a box of mixed buttons without a list of correct groups. You might choose shape and size; someone else might choose colour. Both groupings can be useful for different purposes. A clustering method also depends on its representation and distance rule.

Break it down

  1. Identify the input: what information is available?
  2. Describe the operation or pattern being used.
  3. Identify the output and how you would check it.
  4. Name one mistake the system could make.

Change one detail in this example and consider whether the same idea still applies. This helps separate the underlying concept from one specific application.

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