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210823 ||| eng |
| 020 |
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|a 1119632757
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| 020 |
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|a 9781119632757
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| 020 |
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|a 1119632765
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| 020 |
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|a 9781119632764
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| 050 |
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4 |
|a QA76.73.R3
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| 100 |
1 |
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|a De Brouwer, Philippe J. S.
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| 245 |
0 |
0 |
|a The big R-book
|b from data science to learning machines for the professional
|c Philippe J.S. De Brouwer
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| 260 |
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|a Hoboken, NJ, USA
|b Wiley
|c 2020
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| 300 |
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|a 1 online resource
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| 505 |
0 |
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|a Includes bibliographical references and index
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| 653 |
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|a R (Langage de programmation)
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| 653 |
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|a R (Computer program language) / fast
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| 653 |
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|a R (Computer program language) / http://id.loc.gov/authorities/subjects/sh2002004407
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
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|b OREILLY
|a O'Reilly
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| 776 |
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|z 9781119632771
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| 776 |
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|z 9781119632757
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| 776 |
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|z 1119632722
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| 776 |
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|z 9781119632726
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| 776 |
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|z 9781119632764
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| 776 |
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|z 1119632757
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| 856 |
4 |
0 |
|u https://learning.oreilly.com/library/view/~/9781119632726/?ar
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 005.13/3
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| 520 |
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|a "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"--
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