Anomalies/Outliers in Data Mining

Anomalies or outliers in data mining refer to data points that significantly differ from the rest of the dataset, often indicating rare events or errors. Detecting these outliers is crucial for improving the accuracy of data models and uncovering hidden patterns. In this video, we will discuss how anomalies are identified and their importance in data analysis.

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Видео Anomalies/Outliers in Data Mining канала Gate Smashers