The big R-book: from data science to learning machines for the professional /

"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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Bibliographic Details
Main Authors: De Brouwer, Philippe J. S.
Corporate Authors: Wiley Online Library (Online service)
Published: Wiley,
Publisher Address: Hoboken, NJ :
Publication Dates: [2021].
Literature type: eBook
Language: English
Subjects:
Online Access: https://onlinelibrary.wiley.com/doi/book/10.1002/9781119632757
Summary: "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"--
Item Description: Description based on print version record.
Carrier Form: 1 online resource (928 pages)
Also available in print.
Bibliography: Includes bibliographical references and index.
ISBN: 9781119632757 (electronic book)
9781119632726
Index Number: QA76
CLC: TP312R