Session

Power BI AutoML Model Interpretability & Explainability

Power BI AutoML allows BI developers and data analysts without significant Machine Learning experience to train & deploy machine learning models in Power BI service. Analyst's ability to debug, explain & interpret the model results is as important as model accuracy to improve the predictions and also draw key insights from the data that business users can use. In this session I will discuss ways 'Interpretability & Explainability' can be used in PowerBI AutoML.

Sandeep Pawar

Simulation & Data Analytics Engineer

Chicago, Illinois, United States

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