Anomaly 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.

Timestamp
00:00:00 What Is Anomaly Detection?
00:03:14 Isolation Forest for Anomaly Detection
00:16:59 DBSCAN For Anomaly Detection
00:24:38 Local Outlier Factor Anomaly Detection
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