Techniques for Interpretable Machine Learning
Techniques for Interpretable Machine Learning
Jan 1, 2020
acm.org
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Interpretable models offer a great alternative to traditional machine learning algorithms. Generalized Additive Models like GA2M, Rulefit, and Scorecards are just a few of the approaches available. To learn more check out the resources: Interpretable Models for Machine Learning: https://towardsdatascience.com/the-art-of-sprezzatura-for-machine-learning-e2494c0db727 Imodels: https://github.com/csinva/imodels InterpretML: https://interpret.ml/ Background dedicated to Britt
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