Max Kuhn's guest appearances

Max Kuhn

The PolicyViz Podcast

The R-Podcast

DataScience.LA Podcast

ROPE WALKER

Romain Francois

Yihui Xie

Dirk Eddelbuettel

Ian Lyttle

Will Landau

Javier Luraschi

Garrett Grolemund

Barbara Borgis

Dean Attali

Anne Hutchinson

Vincent Nijs

Garrick Aiden-Buie

Javascript Wizardry

Tareef Kawaf

Kevin Ushey

OwlTail

View Max Kuhn’s diorama installed across the street from 100W in ANTEROOM this October - December, 2020.

<p>View Max Kuhn’s diorama installed across the street from 100W in ANTEROOM this October - December, 2020.</p>

Max Kuhn with Bruce Lee and Julie Webb

Conversation with Max Kuhn  Tidy models: github.com/tidymodels parsnip - A tidy interface to models: tidymodels.github.io/parsnip/ caret package: 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::conf presentation: 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 Leave a voicemail at +1-269-849-9780  Music Credits  Opening and closing themes: Training Montage by WillRock  from the Return All Robots Remix Album at ocremix.org

<h3>Conversation with Max Kuhn</h3> <ul> <li>Tidy models: <a href="https://github.com/tidymodels" rel="nofollow" target="_blank">github.com/tidymodels</a></li> <li><code>parsnip</code> - A tidy interface to models: <a href="https://tidymodels.github.io/parsnip/" rel="nofollow" target="_blank">tidymodels.github.io/parsnip/</a></li> <li><code>caret</code> package: <a href="http://topepo.github.io/caret/index.html" rel="nofollow" target="_blank">topepo.github.io/caret/index.html</a></li> <li>Conventions for R Modeling Packages: <a href="https://tidymodels.github.io/model-implementation-principles/" rel="nofollow" target="_blank">tidymodels.github.io/model-implementation-principles/</a></li> </ul> <h3>Additional <code>rstudio::conf</code> gems</h3> <ul> <li>Empowering a data team with RStudio addins (Hao Zhu): <a href="https://resources.rstudio.com/rstudio-conf-2019/empowering-a-data-team-with-rstudio-addins" rel="nofollow" target="_blank">resources.rstudio.com/rstudio-conf-2019/empowering-a-data-team-with-rstudio-addins</a></li> <li><code>pak</code>: A fresh approach to package installation: <a href="https://pak.r-lib.org/" rel="nofollow" target="_blank">pak.r-lib.org/</a></li> <li>Gabor Csardi's <code>rstudio::conf</code> presentation: <a href="https://resources.rstudio.com/rstudio-conf-2019/pkgman-a-fresh-approach-to-package-installation" rel="nofollow" target="_blank">resources.rstudio.com/rstudio-conf-2019/pkgman-a-fresh-approach-to-package-installation</a></li> <li>Democratizing R with Plumber APIs (James Blair): <a href="https://resources.rstudio.com/rstudio-conf-2019/democratizing-r-with-plumber-apis" rel="nofollow" target="_blank">resources.rstudio.com/rstudio-conf-2019/democratizing-r-with-plumber-apis</a></li> <li>Configuration management tools for the R admin (Kelly O'Briant): <a href="https://resources.rstudio.com/rstudio-conf-2019/configuration-management-tools-for-the-r-admin" rel="nofollow" target="_blank">resources.rstudio.com/rstudio-conf-2019/configuration-management-tools-for-the-r-admin</a></li> <li>The lazy and distracted report writer - using rmarkdown and parameterised reports (Mike K Smith): <a href="https://resources.rstudio.com/rstudio-conf-2019/the-lazy-and-easily-distracted-report-writer-using-rmarkdown-and-parameterised-reports" rel="nofollow" target="_blank">resources.rstudio.com/rstudio-conf-2019/the-lazy-and-easily-distracted-report-writer-using-rmarkdown-and-parameterised-reports</a></li> <li>Modernizing the Clinical Trial Analysis Pipeline with R and JavaScript: <a href="https://github.com/RhoInc/RStudioConf2019-ePoster/" rel="nofollow" target="_blank">github.com/RhoInc/RStudioConf2019-ePoster/</a></li> </ul> <h3>Feedback</h3> <ul> <li>Leave a comment on this episode's <a href="https://r-podcast.org/28" rel="nofollow" target="_blank">post</a></li> <li>Email the show: <code>thercast[at]<a href="http://gmail.com" rel="nofollow" target="_blank">gmail.com</a></code></li> <li>Use the R-Podcast <a href="https://r-podcast.org/contact" rel="nofollow" target="_blank">contact page</a></li> <li>Leave a voicemail at <code>+1-269-849-9780</code></li> </ul> <h3>Music Credits</h3> <ul> <li>Opening and closing themes: <strong>Training Montage</strong> by <a href="http://ocremix.org/artist/5043/willrock" rel="nofollow" target="_blank">WillRock</a>  from the <a href="http://ocremix.org/events/returnallrobots/" rel="nofollow" target="_blank">Return All Robots Remix Album</a> at <a href="http://ocremix.org/" rel="nofollow" target="_blank">ocremix.org</a></li></ul>

Tidymodels with Max Kuhn

Max provides some amazing insights into the why and how of caret, an R package he created. He also discusses his book on Applied Predictive Modeling which he co-authored with Kjell Johnson, including details on how he set out to write the book he wished he would have had. As a special bonus, Max also describes Quinlan’s C5.0, an alternate “forest of decision trees” algorithm, the secrets of which were hidden behind commercial licensing for years – and which has recently been ported and made available to the R ecosystem. Whether you are a beginner just getting your feet wet with R and predictive modeling, or a seasoned data scientist, this interview has something for everyone.

A CONVERSATION WITH MAX KUHN – THE USER! 2014 INTERVIEW