Notes & findings

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On evaluation design, data quality, and the architecture around AI systems that have to actually work.

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Measuring success of a model - practical case of anomaly detection on financial data

Why ROC AUC flatters rare-event detectors, and why the alert budget ended up mattering more than the model.

evaluationanomaly-detectionmetrics
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