Just Enough R!

An Interactive Approach to Machine Learning and Analytics

Richard J. Roiger

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English

Chapman & Hall/CRC
08 June 2020

Automatic control engineering; Programming & scripting languages: general; Databases; Machine learning; Neural networks & fuzzy systems

"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."

By: Richard J. Roiger
Imprint: Chapman & Hall/CRC
Country of Publication: United Kingdom
Dimensions: Height: 254mm, Width: 178mm,
Weight: 635g
ISBN: 9780367439149
ISBN 10: 036743914X
Pages: 346
Publication Date: 08 June 2020
Audience: College/higher education , General/trade , Primary , ELT Advanced
Format: Paperback
Publisher's Status: Active

Preface. Acknowledgment. Author. Introduction to Machine Learning. Introduction to R. Data Structures and Manipulation. Preparing the Data. Supervised Statistical Techniques. Tree-Based Methods. Rule-Based Techniques. Neural Networks. Formal Evaluation Techniques. Support Vector Machines. Unsupervised Clustering Techniques. A Case Study in Predicting Treatment Outcome. Bibliography. Appendix A: Supplementary Materials and More Datasets. Appendix B: Statistics for Performance Evaluation. Subject Index. Index of R Functions. Script Index.

Richard J. Roiger is a professor emeritus at Minnesota State University, Mankato where he taught and performed research in the Computer & Information Science Department for 27 years. Dr. Roiger’s Ph.D. degree is in Computer & Information Sciences from the University of Minnesota. Dr. Roiger continues to serve as a part-time faculty member teaching courses in data mining, artificial intelligence and research methods. Richard enjoys interacting with his grandchildren, traveling, writing and pursuing his musical talents.