Description: Check out a fascinating discussion with Hayley Bresina and David Poe about the importance of fully understanding your model dataset, configuration, feature selection process, and algorithms before trusting the model's predictions. You will learn about the risks of black box models and what happens when models are deployed without a full understanding of the data and processes that trained them. Then, Hayley talks about the importance of doing exploratory data analysis through the machine learning process and demo how to work through an EDA report in One Model. David ties it all together by going into the Results Summary report.
Webinar Date: July 17, 2024
Audience: All
Run time: ~51 minutes
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