# Setting up ML-powered anomaly detection for outlier analysis
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Use procedures in the following sections to start detecting outliers, detecting anomalies, and identifying the key drivers that contribute to them.

**Topics**
+ [Viewing anomaly and forecast notifications](anomaly-detection-adding-from-visuals.md)
+ [Adding an ML insight to detect outliers and key drivers](anomaly-detection-adding-anomaly-insights.md)
+ [Using contribution analysis for key drivers](anomaly-detection-adding-key-drivers.md)