Beginning Data Science with R
"Data Science with R" deals with implementing many useful data analysis methodologies with the R programming language. The target audience for this book is non-R programmers and non-statisticians. The book will cover all the necessary concepts from the basics to state-of-the-art technologi...
| Published in: | Springer eBooks |
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| Main Author: | |
| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2014.
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| Subjects: | |
| Online Access: | http://dx.doi.org/10.1007/978-3-319-12066-9 Перейти в каталог НБ ТГУ |
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| 505 | 0 | |a Introduction -- Overview of the R Programming Language -- Getting Data into R -- Data Visualization -- Exploratory Data Analysis -- Regression -- Classification -- Text Mining. . | |
| 520 | |a "Data Science with R" deals with implementing many useful data analysis methodologies with the R programming language. The target audience for this book is non-R programmers and non-statisticians. The book will cover all the necessary concepts from the basics to state-of-the-art technologies like working with big data. The author attempts to strike a balance between the "how": specific processes and methodologies, while also talking about the "why": giving an intuition behind how a particular technique works, so that the reader can apply the generalized solution to the problem at hand. | ||
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