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WeAreDevelopers LIVE • Jun 12, 2020

Anomaly Detection - Using unsupervised Machine Learning for detecting anomalies in customer base

Lukas Kölbl

Faced with scattered, subjective data, an insurer abandoned supervised learning. See how they used robust PCA to build an explainable anomaly detection model that caught 84% of true outliers.

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