Screen LibraryThe 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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| Main Authors: | |
|---|---|
| Published: |
Wiley,
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| Publisher Address: | Hoboken, NJ, USA : |
| Publication Dates: | 2021. |
| Literature type: | Book |
| Language: | English |
| Subjects: | |
| 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"-- |
| Carrier Form: | xxxiii, 892 pages : illustrations (some color), forms ; 29 cm |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: |
9781119632726 (hardback) : 1119632722 |
| Index Number: | QA76 |
| CLC: | TP312.8R |
| Call Number: | TP312.8R/D288 |