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By BrainSoft | 04 September 2026
By BrainSoft | 04 September 2026
A model that scores well in a notebook is a good sign. It is not a product. The distance between "the metrics look right on my machine" and "this runs every day and someone trusts the output" is where most machine learning work quietly stops. The gap is rarely about the model. It is about everything around it: where the data comes from, wha ...