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... Read more