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Hall, P., & Gill, N. An Introduction to Machine Learning Interpretability: An Applied Perspective on Fairness, Accountability,Transparency, and Explainable AI.O’Reilly M (2018). Retrieved from http://www.oreilly.com/data/free/an-introduction-to-machine-learning-interpretability.csp

Zhengping Che, Sanjay Purushotham, Robinder Khemani and Yan Liu: Interpretable Deep Models for ICU Outcome Prediction (2017)Doshi-Velez, F., & Kim, B. Towards A Rigorous Science of Interpretable Machine Learning (2017).

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Complex, non-interpretable model More intelligible, interpretable model

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■ 𝜉 𝑥 = 𝑎𝑟𝑔𝑚𝑖𝑛𝑔∈𝐺 ℒ 𝑓, 𝑔, 𝜋𝑥 + Ω 𝑔

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