Roger welcomes back Lucy D’Agostino McGowan to the show to discuss building prediction models and how they may or may not relate to causal inference.   Show Notes: <a href="https://twitter.com/LucyStats">Lucy D’Agostino McGowan</a> <a href= "https://www.technologyreview.com/2021/07/30/1030329/machine-learning-ai-failed-covid-hospital-diagnosis-pandemic/"> Hundreds of AI tools have been built to catch covid. None of them helped.</a> <a href="https://www.patreon.com/NSSDeviations">Support us on Patreon</a> <a href="https://twitter.com/rdpeng">Roger on Twitter</a> <a href="https://twitter.com/hspter">Hilary on Twitter</a> <a href="https://rdpeng.org/nssdeviations/">List of NSSD Fellows</a> <a href= "https://leanpub.com/conversationsondatascience/">Get the Not So Standard Deviations book</a> <a href= "https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570"> Subscribe to the podcast on Apple Podcasts</a> <a href= "https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna"> Subscribe to the podcast on Google Play</a> <a href="http://nssdeviations.com">Find past episodes</a> Contact us at nssdeviations @ gmail.com Podcast art by Jessica Crowell

155 - I Just Wanna ML

Roger Peng and Hilary Parker talk about the latest in data science and data analysis in academia and industry.