Episode 28: Tidymodels With Max Kuhn (Rstudio::Conf 2019)

Posted on Thursday, Feb 28, 2019
The R-Podcast’s coverage of rstudio::conf 2019 wraps up in this episode, featuring a comprehensive conversation with RStudio software engineer Max Kuhn! We discuss his vision for the tidymodels ecosystem of modeling packages, lessons learned from continued development of the caret package, and candida advice for how the life sciences industry can utilize R effectively in new workflows. Plus I share some of my favorite gems from the excellent array of conference talks and posters. Thank you so much for listening and hope you enjoy this episode!

Show Notes

Conversation with Max Kuhn

Additional rstudio::conf gems

Feedback

  • Leave a comment on this episode’s post
  • Email the show: thercast[at]gmail.com
  • Use the R-Podcast contact page
  • Leave a voicemail at +1-269-849-9780

Music Credits

Guests

Max Kuhn

Max Kuhn

Max was a nonclinical statistician for 12 years in the pharmaceutical industry and for 6 years in the medical diagnostic industry. His degrees are in Biostatistics (Ph.D.) and Mathematics (B.S.). He has released several R packages for predictive modeling and machine learning, including caret, C50, and Cubist. He is the author of the Springer book Applied Predictive Modeling (with Kjell Johnson), which won the American Statistical Association’s Ziegel Award for best book in 2014.

comments powered by Disqus