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

"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...

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Weitere Titel:
The big R book : from data science to learning machines and big data
Format:
Elektronisch E-Book
Sprache:
Englisch
Veröffentlicht:
Hoboken, NJ: John Wiley & Sons, 2021.
Zusammenfassung:
"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"--
Umfang:
1 online resource (928 pages)
Anmerkungen:
Content Type: text (ncrcontent), Media Type: computer (ncrmedia), Carrier Type: online resource (ncrcarrier)
Includes bibliographical references and index
ISBN:
1-119-63277-3
1-119-63276-5
1-119-63275-7
9781119632764
Schlagworte:
R (Computer program language)
Big data
Machine learning
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