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Interpretable Machine Learning – Fairness, Accountability, and Transparency in ML systems
Editor’s note: Sayak is a speaker for ODSC West in San Francisco this November! Be sure to check out his talk, “Interpretable Machine Learning – Fairness, Accountability and Transparency in ML systems,” there! The problem is it is much harder to evaluate machine learning systems than to train them.... Read more