Cooking Your Data with Recipes

Join us November 18th at 5PM Eastern Time for an introduction to {recipes}!

Recipes are tools for preprocessing data prior to modeling or visualization. You can think of them as a mash-up between `model.matrix()` and dplyr. We'll walk through some recipes and how they can be used with models or visualizations that use dimension reduction.

Max Kuhn is a software engineer at RStudio. He is currently working on improving R’s modeling capabilities and maintains about 30 package, including caret. He was a Senior 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. 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 second book, Feature Engineering and Selection, was published in 2019.