Anomaly Detection

← Feature Engineering Boosting (XGBoost, LightGBM) →

Identifying rare, unusual data points that differ significantly from the majority. Critical for fraud detection, cybersecurity, manufacturing defects, and health monitoring.

L5 · Machine learning practitionerDevelopers Tech leaders QA and testing

Key terms

OutlierIsolation ForestAutoencoderStatistical threshold

Learn these first

← Unsupervised Learning

Where you meet it in the real world

Credit card fraud, network intrusion, equipment failure prediction

Videos

▶ AI Agents: Transforming Anomaly Detection & Resolution ↗

IBM Technology · YouTube

▶ Anomaly Detection: Algorithms, Explanations, Applications ↗

Microsoft Research · YouTube

Guides and articles

What Is Anomaly Detection? | IBM ↗

IBM

What is Anomaly Detection? - Anomaly Detection in ML Explained - AWS ↗

AWS

Courses, papers, and more

scikit-learn: Anomaly Detection ↗

This unlocks

AI in Cybersecurity →

← Feature Engineering Boosting (XGBoost, LightGBM) →

📐Anomaly Detection

Anomaly Detection