Common ML Coding Mistakes Developers Make
Introduction You trained a model. 98% accuracy on cross-validation. You’re happy. The team lead pats you on the shoulder. The model goes to production. And three days later, the product manager brings a revenue drop chart and quietly asks: “Are you sure this worked?” Sound familiar? If not, it means either you’re a genius — […]
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