Anomaly Detection

Anomaly Detection involves identifying patterns in data that do not conform to expected behaviour, often used for detecting outliers, fraud, or unusual events. It relies on statistical methods, machine learning models, or deep learning techniques to recognise deviations from the norm in various applications like cybersecurity, finance, and industrial monitoring.