Anomaly Detection Overview Anomaly detection identifies unusual patterns, outliers, and anomalies in data that deviate significantly from normal behavior, enabling fraud detection and system monitoring. When to Use - Detecting fraudulent transactions or suspicious activity in financial data - Identifying system failures, network intrusions, or security breaches - Monitoring manufacturing quality and identifying defective products - Finding unusual patterns in healthcare data or patient vital signs - Detecting abnormal sensor readings in IoT or industrial systems - Identifying outliers in cust…