juniorUnsupervised Learning
What is anomaly detection?
Updated May 15, 2026
Short answer
Anomaly detection identifies unusual data points.
Deep explanation
It detects outliers that deviate significantly from normal patterns.
Real-world example
Fraud detection in banking transactions.
Common mistakes
- Confusing anomalies with noise.
Follow-up questions
- What algorithms are used?
- Why is it unsupervised?