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The big R-book : from data science to learning machines for the professional / Philippe J.S. De Brouwer

データ種別 電子ブック
出版者 (Hoboken, NJ, USA : Wiley)
出版年 2020
大きさ 1 online resource
著者標目 *De Brouwer, Philippe J. S. author

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URL
射水-電子 007 EB0005234 Wiley Online Library: Complete oBooks

9781119632757

書誌詳細を非表示

一般注記 Includes bibliographical references and index
"This book provides an overall introduction to R with a focus on tools and methods commonly used in Data Science, with an emphasis on practice and business use. The intention is to provide a practical guide for non-experts with a focus on business users. The author covers a wide range of topics in a single book: databases, statistical machine learning, data wrangling, data visualization, and reporting such results. The book includes seven parts. Part 1 is an Introduction, Part 2 provides an overview of R and elements of statistics. Part 3 revolves around data, while Part 4 focuses on data wrangling. Next, Part 5 focuses on exploring data. Modelling is covered in Part 6, while Part 7 covers reports. Finally, Part 7 contains appendices. The topics covered are all important for someone with a science/math background that is looking to quickly learn several practical technologies to enter or transition to the growing field of data science"-- Provided by publisher
Print version record
John Wiley and Sons Wiley Online Library: Complete oBooks
HTTP:URL=https://onlinelibrary.wiley.com/doi/book/10.1002/9781119632757
件 名 LCSH:R (Computer program language)
CSHF:R (Langage de programmation)
FREE:R (Computer program language)
分 類 LCC:QA76.73.R3
DC23:005.13/3
書誌ID EB00004523
ISBN 9781119632757

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