Just Enough R! An Interactive Approach to Machine Learning and Analytics presents just enough of the R language, machine learning algorithms, statistical methodology, and analytics for the reader to learn how to find interesting structure in data. The approach might be called "seeing then doing" as it first gives step-by-step explanations using simple, understandable examples of how the various machine learning algorithms work independent of any programming language. This is followed by detailed scripts written in R that apply the algorithms to solve nontrivial problems with real data. The script code is provided, allowing the reader to execute the scripts as they study the explanations given in the text.

Features






Gets you quickly using R as a problem-solving tool



Uses RStudio's integrated development environment



Shows how to interface R with SQLite



Includes examples using R's Rattle graphical user interface



Requires no prior knowledge of R, machine learning, or computer programming



Offers over 50 scripts written in R, including several problem-solving templates that, with slight modification, can be used again and again



Covers the most popular machine learning techniques, including ensemble-based methods and logistic regression






Includes end-of-chapter exercises, many of which can be solved by modifying existing scripts



Includes datasets from several areas, including business, health and medicine, and science

About the Author

Richard J. Roiger is a professor emeritus at Minnesota State University, Mankato, where he taught and performed research in the Computer and Information Science Department for over 30 years.