How to detect an anomaly in artificial intelligence? Anomaly/outlier - Pinaki Laskar on LinkedIn

How to detect an anomaly in artificial intelligence? Anomaly/outlier detection is the identification of rare events, items, or observations which are suspicious because they differ significantly from standard behaviors or patterns. Anomalies in data are also called standard deviations, outliers, noise, novelties, and exceptions. Anomaly detection is identifying data points in data that don't fit the normal patterns, as the normal Gaussian distribution or random samples/IID, a collection of independent and identically distributed random variables. Machine learning methods allow to automate anomaly detection and make it more effective, especially when large datasets are involved.