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(Ebook) Just Enough R!: An Interactive Approach to Machine Learning and Analytics by Richard J. Roiger ISBN 9780367439149, 036743914X

  • SKU: EBN-11117292
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Authors:Richard J. Roiger
Pages:364 pages.
Year:2020
Editon:1
Publisher:Chapman and Hall/CRC
Language:english
File Size:9.57 MB
Format:pdf
ISBNS:9780367439149, 036743914X
Categories: Ebooks

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(Ebook) Just Enough R!: An Interactive Approach to Machine Learning and Analytics by Richard J. Roiger ISBN 9780367439149, 036743914X

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 toolUses RStudio’s integrated development environmentShows how to interface R with SQLiteIncludes examples using R’s Rattle graphical user interfaceRequires no prior knowledge of R, machine learning, or computer programmingOffers over 50 scripts written in R, including several problem-solving templates that, with slight modification, can be used again and againCovers 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 scriptsIncludes datasets from several areas, including business, health and medicine, and science About the AuthorRichard 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.
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