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By | March 17, 2020 | 353 views
 

Machine learning: Time-based anomaly detection (part 3)

Anomaly detection is a much-appreciated tool by data scientists. It aims to find data samples that do not conform to the regular distribution of the dataset to which they belong. Finding anomalous samples, also known as distribution outliers, provides valuable insight that often correlates with defects or errors in the data collection process (e.g., faulty or misconfigured equipment). This blog…

 
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