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{ "item_title" : "Just Enough R!", "item_author" : [" Richard J. Roiger "], "item_description" : "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.FeaturesGets 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 regressionIncludes end-of-chapter exercises, many of which can be solved by modifying existing scriptsIncludes datasets from several areas, including business, health and medicine, and scienceAbout 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.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/0/36/744/320/0367443201_b.jpg", "price_data" : { "retail_price" : "200.00", "online_price" : "200.00", "our_price" : "200.00", "club_price" : "200.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Just Enough R!|Richard J. Roiger

Just Enough R! : An Interactive Approach to Machine Learning and Analytics

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Overview

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.

This item is Non-Returnable

Details

  • ISBN-13: 9780367443207
  • ISBN-10: 0367443201
  • Publisher: CRC Press
  • Publish Date: June 2020
  • Dimensions: 10 x 7 x 0.81 inches
  • Shipping Weight: 1.87 pounds
  • Page Count: 346

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