Edwin Thoen • 10/14/2020

Overengineering in ML - business life is not a Kaggle competition

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The article explores the concept of overengineering in machine learning, arguing that business applications should prioritize creating value over achieving maximum predictive accuracy. It contrasts the goals of Kaggle competitions with real-world needs, highlighting the costs of diminishing returns and implementation complexity when chasing marginal model improvements.

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#Machine Learning #Data Science #Overengineering
Overengineering in ML - business life is not a Kaggle competition

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