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The big R-book : = from data science...

De Brouwer, Philippe J. S.,

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The big R-book : = from data science to learning machines and big data /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	The big R-book :/ Philippe J.S. De Brouwer.
Reminder of title:	from data science to learning machines and big data /
Author:	De Brouwer, Philippe J. S.,
Published:	Hoboken, NJ, USA :Wiley, : 2021.,
Description:	xxxiii, 892 p. :ill. (some col.) ;29 cm.
Subject:	R (Computer program language) -
ISBN:	9781119632726

The big R-book : = from data science to learning machines and big data /
De Brouwer, Philippe J. S.,

The big R-book :from data science to learning machines and big data /Philippe J.S. De Brouwer. - Hoboken, NJ, USA :Wiley,2021. - xxxiii, 892 p. :ill. (some col.) ;29 cm.

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 andbusiness use.The intention is to provide a practical guide for non-expertswith a focus on business users. The author covers a wide range of topics ina single book: databases, statistical machine learning, data wrangling, datavisualization, and reporting such results. The book includes seven parts.Part 1 is an Introduction, Part 2 provides an overview of R and elements ofstatistics. Part 3 revolves around data, while Part 4 focuses on datawrangling. Next, Part 5 focuses on exploring data. Modelling is covered inPart 6, while Part 7 covers reports. Finally, Part 7 contains appendices.The topics covered are all important for someone with a science/mathbackground that is looking to quickly learn several practical technologiesto enter or transition to the growing field of data science"--

ISBN: 9781119632726US129.95

LCCN: 2019057557Subjects--Topical Terms:

784593
R (Computer program language)

LC Class. No.: QA76.73.R3 / .D43 2021

Dewey Class. No.: 005.13/3

The big R-book : = from data science to learning machines and big data /
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020 $z 9781119632764 $q (adobe pdf)
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100 1 $a De Brouwer, Philippe J. S., $e author. $3 3565499
245 1 4 $a The big R-book : $b from data science to learning machines and big data / $c Philippe J.S. De Brouwer.
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300 $a xxxiii, 892 p. : $b ill. (some col.) ; $c 29 cm.
504 $a Includes bibliographical references and index.
520 # $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 andbusiness use.The intention is to provide a practical guide for non-expertswith a focus on business users. The author covers a wide range of topics ina single book: databases, statistical machine learning, data wrangling, datavisualization, and reporting such results. The book includes seven parts.Part 1 is an Introduction, Part 2 provides an overview of R and elements ofstatistics. Part 3 revolves around data, while Part 4 focuses on datawrangling. Next, Part 5 focuses on exploring data. Modelling is covered inPart 6, while Part 7 covers reports. Finally, Part 7 contains appendices.The topics covered are all important for someone with a science/mathbackground that is looking to quickly learn several practical technologiesto enter or transition to the growing field of data science"-- $c Provided by publisher.
650 # 0 $a R (Computer program language) $3 784593
776 0 8 $i Online version: $a De Brouwer, Philippe J. S., $t The big R-book. $d Hoboken,NJ, USA : Wiley, 2020. $z 9781119632764 $w (DLC) 2019057558