Data anomaly detection is 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. There are many different types of ...
Dr. James McCaffrey of Microsoft Research provides full code and step-by-step examples of anomaly detection, used to find items in a dataset that are different from the majority for tasks like ...
The problem of anomaly detection is not new, and a number of solutions have already been proposed over the years. However, before starting with the list of techniques, let's agree on a necessary ...
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