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Thursday, May 30 • 1:15pm - 2:00pm
Come On, Get SHAPpy: Interpretable Machine Learning with SHAP

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Not all machine learning models are created equal. More advanced methods lead to greater accuracy, but at the expense of interpretability. This talk will discuss how to utilize SHAP (SHapley Additive exPlanations) in R and Python to understand and interpret the results of complex machine learning models without sacrificing accuracy or interpretability.

Speakers
avatar for Brianna Frederick, MA

Brianna Frederick, MA

Senior Data Scientist, General Mills
Brianna is an experienced Data Scientist working in the consumer goods industry. She is skilled in advanced analytics, data strategies & leadership, global collaboration, and analytic consulting.


Thursday May 30, 2019 1:15pm - 2:00pm
(E) P0806 A&B Normandale Partnership Center, 9700 France Ave So, Bloomington, MN 55431

Attendees (104)