Statistical Regression and Classification provides a modern introduction to regression and classification, with a particular emphasis on big data and the use of R. Each chapter is thoughtfully divided into two sections: a main body and an extras section.

The main body of the text uses mathematical statistics very sparingly, and always in the context of something concrete. This approach allows readers to navigate the content without needing to delve into the mathematical statistics if they are not comfortable doing so.

The extras section is designed for those who feel at ease with analysis using mathematical statistics, offering additional insights and depth.