| Description |
xxvii, 536 pages : illustrations ; 24 cm |
| Bibliography |
Includes bibliographical references (pages 519-521) and index. |
| Contents |
Introduction to data science -- Modeling methods -- Working in the real world. |
| Summary |
"Evidence-based decisions are crucial to success. Applying the right data analysis techniques to your carefully curated business data helps you make accurate predictions, identify trends, and spot trouble in advance. The R data analysis platform provides the tools you need to tackel day-to-day data analysis and machine learning tasks efficiently and effectively. "Practical data science with R, second edition" is a task-based tutorial that leads readers through dozens of useful data analysis practices using the R language. By concentrating on the most important tasks you'll face on the job, this friendly guide is comfortable both for business analysts and data scientists. Because data is only useful if it can be understood, you'll also find fantastic tips for organizing and presenting data in tables, as well as snappy visualizations."-- Provided by publisher |
| Subject |
R (Computer program language)
|
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Mathematical statistics -- Data processing.
|
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Data mining.
|
| Added Author |
Mount, John (Computational scientist), author.
|
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Howard, Jeremy, writer of foreword.
|
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Thomas, Rachel, writer of foreword.
|
| ISBN |
9781617295874 |
|
1617295876 |
|
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