Max Kuhn on TidyModels

The tidymodels framework is a collection of packages for modeling and machine learning using tidyverse principles. This talk will be a broad overview on the tidymodels infrastructure by walking through a basic regression example. Time permitting, we'll also showcase more advanced topics.

https://www.tidymodels.org/

Max Kuhn is a software engineer at RStudio. He is currently working on improving R's modeling capabilities. He was a Director of Nonclinical Statistics at Pfizer Global R&D in Connecticut. He was applying models in the pharmaceutical and diagnostic industries for over 18 years. Max has a Ph.D. in Biostatistics. Max is the author of numerous R packages for techniques in machine learning and reproducible research and is an Associate Editor for the Journal of Statistical Software. He, and Kjell Johnson, wrote the book Applied Predictive Modeling, which won the Ziegel award from the American Statistical Association, which recognizes the best book reviewed in Technometrics in 2015. Their latest book, Feature Engineering and Selection, was published in 2019.

https://rstudio.com/speakers/max-kuhn/

Note: this talk will be recorded and posted on our YouTube channel.