Tag: ml
All the articles with the tag "ml".
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Fraud Detection at Sub-200ms: The Latency Budget Nobody Talks About
Real-time fraud scoring that lives inside the payment authorization path has a tiny latency budget, and a slightly worse model that fits it beats a better one that does not.
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A Forecasting Ensemble That Actually Ships
A demand-forecasting ensemble (a classical statistical model, a sequence model, and gradient boosting) that took accuracy far enough to cut inventory hard, plus the boring data problems that mattered more than the model.
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Your Recommendation Engine Doesn't Need Deep Learning (Yet)
Collaborative filtering and plain co-occurrence carried a marketplace recommender to hundreds of millions of recs a day. The exact point where deep ranking earned its complexity, and why most teams reach for it a year early.
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Alternative Credit Scoring When the Bureau Has No File
Scoring hundreds of thousands of small merchants with no credit-bureau file, where the ensemble was easy and the fairness, reason codes, and feedback loops were the part that took a year.