Why you should care about debugging machine learning models
O'Reilly Media - Data
DECEMBER 12, 2019
For all the excitement about machine learning (ML), there are serious impediments to its widespread adoption. Sometimes ML models are just plain wrong, but sometimes they’re wrong and socially discriminatory, or hacked, or simply unethical. [2] Not least is the broadening realization that ML models can fail.
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