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Catch your next glitch with machine learning before it becomes a crisis.
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Real time anomaly detection optimizes cost savings and business processes, while speeding up and improving your decisions.
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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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