What is Kibana's ML anomaly detection feature?
Kibana's ML anomaly detection feature uses machine learning to identify unusual patterns in your data.
How does it work?
It analyzes historical data to establish a baseline and then detects deviations from that baseline.
Can I customize the anomaly detection settings?
Yes, you can adjust the sensitivity and other parameters to better fit your data and needs.
What types of data can I analyze with it?
You can analyze time-series data, logs, and metrics from various sources to find anomalies.
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