Machine Learning Model Interpretability using AzureML & Interpret-ml (Explainable Boosting Machine)

Описание к видео Machine Learning Model Interpretability using AzureML & Interpret-ml (Explainable Boosting Machine)

This was a presentation at Global AI Bootcamp, Singapore. In this session, I discussed the importance of model interpretability, how to create accurate and interpretable models. I present case studies on using Explainable Boosting Machines from Interpret-ML (AzureML) to create Glassbox models without sacrificing accuracy.


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Sandeep Pawar

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