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What “Production-Ready” Actually Means in Machine Learning
CONTINUE READING: What “Production-Ready” Actually Means in Machine LearningWhy high accuracy is the beginning , not the end There is a specific kind of dopamine hit that comes from a successful Jupyter Notebook run. You clean the data , tune the hyper-parameters and finally the validation metrics line up. The accuracy is high. The loss curve is smooth. You show the results to…
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Use over Outcome: The Three-Tool Flow I Rely On
CONTINUE READING: Use over Outcome: The Three-Tool Flow I Rely OnI don’t really ask myself which model is best anymore. That question feels sterile, like standing in a hardware store and arguing over hammers while the wall remains unbuilt. Instead , I think in terms of jobs. What’s the actual work in front of me? What shape does it take? Once I see that, the…
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The Illusion of Effortless Mastery in the Age of AI Tools
CONTINUE READING: The Illusion of Effortless Mastery in the Age of AI ToolsWorking in tech often puts me in the front seat of emerging tools—ones that promise to abstract away entire layers of complexity. Many of them deliver on that promise and in doing so, they feed particular kind of wonder. A one-liner prompt then a little pause for tea and then a working web-app. To be…