Interpretable vs Explainable Machine Learning

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. *NOTE*: You will now get the XAI course for free if you sign up (not the SHAP course) SHAP course: https://adataodyssey.com/courses/shap-with-python/ XAI course: https://adataodyssey.com/courses/xai-with-python/ Newsletter signup: https://mailchi.mp/40909011987b/signup Read the companion article (no-paywall link): https://medium.com/data-science/interperable-vs-explainable-machine-learning-1fa525e12f48?sk=0394bbace04d1ba96f467ec42ced6d92 Medium: https://conorosullyds.medium.com/ Twitter: https://twitter.com/conorosullyDS Mastodon: https://sigmoid.social/@conorosully Website: https://adataodyssey.com/