Max Kuhn writes practical books about predictive modelling and machine-learning workflows in R. Applied Predictive Modeling, written with Kjell Johnson, covers data preprocessing, regression, classification, resampling, feature selection and model evaluation through detailed case studies. Feature Engineering and Selection focuses more closely on transforming variables and choosing useful predictors, while Tidy Modeling with R, written with Julia Silge, uses the tidymodels ecosystem for modern R workflows. Kuhn's books are technical, systematic and example-driven, with strong attention to validation and reproducibility. His work fits R, predictive modelling, feature engineering and applied machine learning. Read more Less
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