Data Visualization With Python Lime And Shap Libraries

Summary

In explainable AI, the focus is to make machine learning models interpretable. Shapash is a explaining the black-box machine learning models - why model eaplainability is important? - what is PyData NYC 2018 What's the use of sophisticated machine learning models if you can't interpret them? This workshop covers two ... Learn how to build a Model Explainer Studio that visualizes CNN predictions with hand-rolled KernelSHAP and In this video, we will cover Local Interpretable Model Agnostic Explanation ( Resources ▭▭▭▭▭▭▭▭▭▭▭ Code: github.com/deepfindr/xai-series Book: ... Interpretable models can be understood by a human without any other aids/techniques. On the other hand, explainable models ...