KDnuggets Home » News » 2017 » May » Software » Machine Learning Anomaly Detection: The Ultimate Design Guide ( 17:n21 )

Machine Learning Anomaly Detection: The Ultimate Design Guide


 
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Considering building a machine learning anomaly detection system for your high velocity business? Learn how with Anodot ultimate three-part guide.


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Considering building a machine learning anomaly detection system for your high velocity business? Find out what's involved in our ultimate three-part guide to building a machine learning-based anomaly detection system. The series covers:

  • Why data-heavy companies need anomaly detection
  • Types of machine learning
  • Design principles including timeliness, scale, rate of change, conciseness and definition of incidents
  • Learning normal behavior of time series data
  • Correlating abnormal behavior

Read these guides for a clear picture of the complexities of building an effective and scalable anomaly detection system based on machine learning.
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