Anomaly Detection

We added new lesson "Anomaly Detection"! It is an important part of any scientific investigation. Outliers detection is represented as a step in Exploratory Data Analysis

It covers methods and criteria for determining outliers in processed data. Anomaly detection techniques can be applied for scalar and multidimensional data. We apply Grubbs' test, Thompson tau test and Tietjen-Moore test in scalar case. For vector data we use such tools as Mahalanobis distance and F-statistic.

You can see the video lesson on our Youtube channel.

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