Why Most Data Science Models Fail at the Handoff to Production
A model that scores well in a notebook has proven very little. It has shown that a set of patterns exists in historical data and that an algorithm can find them. Whether those patterns hold up inside a live system, under real latency limits, with messy inputs and changing behavior, is a separate question. Industry surveys have repeatedly found that a large share of machine learning projects...
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