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 |
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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 |
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 |
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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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