Why you should care about debugging machine learning models
O'Reilly on Data
DECEMBER 12, 2019
If a model is going to be used on all kinds of people, it’s best to ensure the training data has a representative distribution of all kinds of people as well. Interpretable ML models and explainable ML. The debugging techniques we propose should work on almost any kind of ML-based predictive model.
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