R-Ladies Miami is excited to present Max Kuhn on March 3, 2020!
Many machine learning models have hyperparameters whose values cannot be analytically estimated from the data. For example, the number of neighbors in a nearest-neighbor classification model. The tidymodels collection or R packages are a tidyverse interface to modeling. In this talk, the new tune package will be introduced. Examples of the tidy interface to model tuning will be demonstrated.
Max Kuhn is a software engineer at RStudio. He is currently working on improving R’s modeling capabilities. 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.
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.