Format:
1 Online-Ressource (xxxiii, 892 Seiten)
,
Illustrationen, Diagramme
ISBN:
9781119632757
,
9781119632764
,
9781119632771
Content:
"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"--..
Additional Edition:
Erscheint auch als Druck-Ausgabe, Hardcover ISBN 978-1-119-63272-6
Language:
English
Subjects:
Computer Science
Keywords:
R
;
Maschinelles Lernen
DOI:
10.1002/9781119632757
URL:
Volltext
(URL des Erstveröffentlichers)
URL:
Volltext
(lizenzpflichtig)
Bookmarklink
