[Blog Post] Introduction to Anomaly Detection: Concepts and Techniques

  • By Srinath Perera
  • 21 Mar, 2016

Machine Learning has four common classes of applications: classification, predicting next value, anomaly detection, and discovering structure. Among them, Anomaly detection detects data points in data that does not fit well with the rest of the data. It has a wide range of applications such as fraud detection, surveillance, diagnosis, data cleanup, and predictive maintenance.

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