Just Enough R An Interactive Approach to Machine Learning and Analytics

• Main Author: Roiger, Richard J.
• Format: eBook Book
• Language: English
• Published: Boca Raton CRC Press 2020; Chapman & Hall/CRC; CRC Press LLC; Chapman & Hall
• Edition: 1
• Subjects: Cognitive Artificial Intelligence; COMPUTERSCIENCEnetBASE; Data Preparation & Mining; Data structures (Computer science); INFORMATIONSCIENCEnetBASE; Machine Learning; Machine Learning - Design; Mathematical statistics; Mathematical statistics > Data processing; Neural Networks; Programming & Programming Languages; R (Computer program language); SCI-TECHnetBASE; Statistical Computing; STATSnetBASE; STMnetBASE; Agglomerative Clustering; Life Insurance Promotion; Test Set Accuracy; Supervised Models; Association Rules; Supervised Learner Models; Roc Curve; Multiple Linear Regression; Test Set Instance; Arules Package; Regression Model; Classifier Error Rate; Residual Standard Error; Magazine Promotion; XOR Function; Lumbar Extension; Missing Data Items; Unsupervised Clustering; Credit Card Insurance; Input Attributes; Market Basket Analysis; Time Series; Gamma Ray Burst; Roc Graph; Credit Card Promotion Database
• ISBN: 9780367443207; 9780367439149; 0367443201; 036743914X
• DOI: 10.1201/9781003006695

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. Several of the scripts are 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.