A practical framework for turning data analysis into decision policies you can defend. Covers risk modeling, thresholding, exception handling, policy cards, monitoring, and update triggers, using real patterns like abstention rules, reorder points, and fairness-aware benchmarking. Built for "ship it" data science.
data-science monitoring metrics decision-making uncertainty calibration dashboards data-analysis reproducibility thresholding fairness risk-management experiment-design human-in-the-loop product-analytics mlops drift-detection abstention model-governance policy-design
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Updated
Jun 4, 2026