Anomaly detection, also called outlier detection, is the process of finding rare items in a dataset. Examples include finding fraudulent login events and fake news items. Take a look at the demo ...
Dr. James McCaffrey of Microsoft Research tackles the process of examining a set of source data to find data items that are different in some way from the majority of the source items. Data anomaly ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More There’s strong evidence that humans rely on coordinate frames, or ...
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