Make Machine Learning Interpretability More Rigorous
( go to the article → https://blog.dominodatalab.com/make-machine-learning-interpretability-rigorous/ )
This Domino Data Science Field Note covers a proposed definition of machine learning interpretability, why interpretability matters, and the arguments for considering a rigorous evaluation of interpretability. Insights are drawn from Finale Doshi-Velez’s talk, “A Roadmap for the Rigorous Science of Interpretability” as well as the paper, “Towards a Rigorous Science of Interpretable Machine Learning”. […] The post Make Machine Learning Interpretability More Rigorous appeared first on Data Science Blog by Domino.
Aug. 30, 2018, 2 p.m.
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