Review of Applied Predictive Modeling

Last Updated on August 15, 2020

The book Applied Predictive Modeling teaches practical machine learning theory with code examples in R.

It is an excellent book and highly recommended to machine learning practitioners and users of R for machine learning.

In this post you will discover the benefits of this book and how it can help you become a better machine predictive modeler.

About the Book

Applied Predictive Modeling is written by Max Kuhn and Kjell Johnson. Max Kuhn is a director of non-clinical statistics at Pfizer and best known as the developer of the caret package in R. Kjell Johnson is a co-founder of Arbor Analytics and formally a direct at Pfizer.

The book has its own dedicated website that provides some data and code used in the book, and general information about the book contents and errata.

It came out in September 2013, and I remember it sold out very quickly. I had to wait for a second printing to get my copy. The reason it was and still is in such great demand is because it is a fantastic reference written by very skilled authors.

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