Episode 28: Tidymodels With Max Kuhn (Rstudio::conf 2019)
Posted on Thursday, Feb 28, 2019 | Category: Podcast
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
- Tidy models: github.com/tidymodels
parsnip- A tidy interface to models: tidymodels.github.io/parsnip/caretpackage: topepo.github.io/caret/index.html- Conventions for R Modeling Packages: tidymodels.github.io/model-implementation-principles/
Additional rstudio::conf gems
- Empowering a data team with RStudio addins (Hao Zhu): resources.rstudio.com/rstudio-conf-2019/empowering-a-data-team-with-rstudio-addins
pak: A fresh approach to package installation: pak.r-lib.org/- Gabor Csardi’s
rstudio::confpresentation: resources.rstudio.com/rstudio-conf-2019/pkgman-a-fresh-approach-to-package-installation - Democratizing R with Plumber APIs (James Blair): resources.rstudio.com/rstudio-conf-2019/democratizing-r-with-plumber-apis
- Configuration management tools for the R admin (Kelly O’Briant): resources.rstudio.com/rstudio-conf-2019/configuration-management-tools-for-the-r-admin
- The lazy and distracted report writer - using rmarkdown and parameterised reports (Mike K Smith): resources.rstudio.com/rstudio-conf-2019/the-lazy-and-easily-distracted-report-writer-using-rmarkdown-and-parameterised-reports
- Modernizing the Clinical Trial Analysis Pipeline with R and JavaScript: github.com/RhoInc/RStudioConf2019-ePoster/
Feedback
- Leave a comment on this episode’s post
- Email the show:
thercast[at]gmail.com - Use the R-Podcast contact page
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+1-269-849-9780
Music Credits
- Opening and closing themes: Training Montage by WillRock from the Return All Robots Remix Album at ocremix.org
Guests
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.
Hosts
Eric Nantz
Eric Nantz is a principal research scientist at a large life sciences company, creating innovative analytical pipelines and capabilities supporting study designs and analyses. Outside of his day job, Eric is passionate about connecting with the R community as the creator/host of the R-Podcast, Shiny Developer Series, and a curator / podcast host for the R Weekly project. Plus, he likes to share his adventures with R and general computing on Twitch livestreams at twitch.tv/rpodcast.