juniorData Mining
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?