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PROACTIVE EXPLANATIONS: PYTHON WORKFLOWS FOR DATA SCIENCE AND AI

September 21, 2020
USA (United States of America)
SHARESHARESHARE
In this workshop, we will talk on the typical data science workflow with a focus on explainability. It focuses on skills and tactics used to help data scientists articulate their findings to end-users, stakeholders, and other data scientists. From data ingestion, cleaning and feature selection, and ultimately model selection, explainability can be incorporated into a data scientists workflow. Using a combination of semi-automated and open source software.