Tag: ml
All the articles with the tag "ml".
-
The Support Set Is the Model
Tabular foundation models do their learning inside a context window, which means the ten thousand rows you hand them matter more than which model you picked. Support-set selection is a retrieval problem, and almost nobody is measuring it.
-
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.
-
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.
-
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.