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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Main Authors: | |
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Corporate Authors: | |
Published: |
Wiley,
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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 |