Interpretable vs Explainable Machine Learning: Key Differences You Need to Know 🤖

Interpretable models can be understood by a human without any other aids/techniques. On the other hand, explainable models require additional techniques to be understood by humans. We discuss this definition and how it relates to interpretability--the degree to which a model can be understood by a human.

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Read the companion article (no-paywall link):
https://medium.com/data-science/interperable-vs-explainable-machine-learning-1fa525e12f48?sk=0394bbace04d1ba96f467ec42ced6d92

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