Anomaly detection: Difference between revisions

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In machine learning terms, '''anomaly detection''' refers to identifying suspicious elements within a given stream of data.
In machine learning terms, '''anomaly detection''' refers to identifying suspicious elements within a given stream of data. It finds outliers in a collection of datapoints.

Revision as of 21:36, 9 February 2020

In machine learning terms, anomaly detection refers to identifying suspicious elements within a given stream of data. It finds outliers in a collection of datapoints.