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Hidden Technical Debt in Machine Learning Systems - NIPS

Hidden Technical Debt in Machine Learning Systems - NIPS

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the absence of barriers, engineers will naturally use the most convenient signal at hand, especially ... For example, rather than allowing a semantic mapping of words to topic clusters to change over time, it might be reasonable to create a frozen version of this mapping and use it until such a time as an updated version has been fully vetted ...

  System, Machine, Technical, Barriers, Learning, Debt, Hidden, Semantics, Hidden technical debt in machine learning systems

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