What is the difference between supervised and unsupervised learning?

Updated May 15, 2026

Short answer

Supervised learning uses labeled data; unsupervised learning uses unlabeled data.

Deep explanation

Supervised learning trains models on input-output pairs, while unsupervised learning discovers hidden patterns like clusters or associations without labels.

Real-world example

Spam detection (supervised) vs customer segmentation (unsupervised).

Common mistakes

  • Assuming unsupervised learning is less useful.

Follow-up questions

  • What is semi-supervised learning?
  • Which is harder?

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