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Notas de campo sobre levar IA para dentro de sistemas reais.

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Fraud detection on a public dataset: the metric that matters when 0.17% of rows are fraud

We trained four classifiers on a public card-transaction dataset to learn one thing: with fraud this rare, the number everyone quotes is the wrong one. What we measured, and what a production system would still need.

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Computer vision on the cameras you already have: what two proofs of concept taught us
Counting people and vehicles, tracking occupancy, checking for a hard hat — the models are ready and the cameras are already installed. The work is placement, thresholds, drift, and deciding what never gets recorded.
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Notas de campo sobre levar IA para dentro de sistemas reais.

Fraud detection on a public dataset: the metric that matters when 0.17% of rows are fraud

Computer vision on the cameras you already have: what two proofs of concept taught us