Hilary and Roger talk about tidymodels one more time with listener feedback, discuss the central question of data science, alternate ways to characterize uncertainty, and GitHub Copilot.   Show Notes: Hill’s Criteria for Data Scientists - <a href= "https://livefreeordichotomize.com/2016/12/15/hill-for-the-data-scientist-an-xkcd-story/"> https://livefreeordichotomize.com/2016/12/15/hill-for-the-data-scientist-an-xkcd-story/</a> <a href="https://www.patreon.com/join/NSSDeviations" rel= "payment">Support us through our Patreon page</a> <a href="https://twitter.com/rdpeng">Roger on Twitter</a> <a href="https://twitter.com/hspter">Hilary on Twitter</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

137 - Getting to Right

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