Explainable Data Science Workflows
Presented by Austin Eovito, Data Scientist, IBM
Learn explainable workflows using open source software, semi-automated pipelines, and Python! From data ingestion, cleaning, piping, and modeling, explainability and trust are at the forefront of enterprise data science initiatives. In this talk, learn the best practices for codifying and relaying explainable data science to stakeholders, management, and the end user in a reproducible and portable fashion.
WATCH LIVE WED APR 15 @ 11.00AM PST