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* refresh the ML documentation and consolidate the two docs * ml conf doc * ml category overview page debloat * link to AA * update metrics correlation doc * Apply suggestions from code review Co-authored-by: Ilya Mashchenko <ilya@netdata.cloud> --------- Co-authored-by: Ilya Mashchenko <ilya@netdata.cloud>
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Machine Learning and Anomaly Detection
Netdata provides a variety of Machine Learning features to help you troubleshoot certain scenarios that might come up.
- K-means clustering Machine Learning models are trained to power the Anomaly Advisor on the dashboard, which allows you to identify anomalies in your infrastructure
- Metric Correlations are possible through the dashboard using the Two-sample Kolmogorov Smirnov statistical test and Volume heuristic measures
- The Netdata Assistant is able to answer your prompts when it comes to troubleshooting alerts and anomalies.