Description
Just Enough R!
An Interactive Approach to Machine Learning and Analytics
Author: Roiger Richard J.
Language: EnglishSubjects for Just Enough R!:
- General titles on business computerization
- Telematics, Networks, Shared systems, Queing systems, Internet
- Artificial Intelligence
- Databases and Knowledge-based Systems
- Probability, Statistics
- General titles in financial management
- Computer graphics. Image processing
- General titles on IT
- IT handbooks (selecting and using equipment...). Popular guides. General titles.
- Algorithms, analysis et numeric method, cryptology
- General titles. Programming methods
Keywords
Life Insurance Promotion; statistical methodology; Multiple Linear Regression; Rattle graphical user interface; Credit Card Insurance; logistic regression; Credit Card Promotion Database; machine learning algorithms; Test Set Accuracy; problem-solving templates; Test Set Instance; Market Basket Analysis; Input Attributes; Missing Data Items; Gamma Ray Burst; Unsupervised Clustering; Roc Curve; Magazine Promotion; Arules Package; Supervised Models; Regression Model; Agglomerative Clustering; Time Series; XOR Function; Classifier Error Rate; Supervised Learner Models; Association Rules; Roc Graph; Residual Standard Error; Lumbar Extension
Publication date: 06-2020
· 17.8x25.4 cm · Hardback
Publication date: 06-2020
· 17.8x25.4 cm · Paperback
Description
/li>Contents
/li>Biography
/li>
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.
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.
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