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Beginning data science with R / by Manas A. Pathak.
Springer Nature - Springer Mathematics and Statistics (R0) eBooks 2014 English International Available online
Springer Nature - Springer Mathematics and Statistics (R0) eBooks 2014 English International- Format:
- Book
- Author/Creator:
- Pathak, Manas A., Author.
- Language:
- English
- Subjects (All):
- Applied mathematics.
- Engineering mathematics.
- Statistics.
- Signal processing.
- Image processing.
- Speech processing systems.
- R (Computer program language).
- Mathematical and Computational Engineering.
- Statistics and Computing/Statistics Programs.
- Signal, Image and Speech Processing.
- Local Subjects:
- Mathematical and Computational Engineering.
- Statistics and Computing/Statistics Programs.
- Signal, Image and Speech Processing.
- Physical Description:
- 1 online resource (165 p.)
- Edition:
- 1st ed. 2014.
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2014.
- Language Note:
- English
- Summary:
- “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.
- Contents:
- Introduction
- Overview of the R Programming Language
- Getting Data into R
- Data Visualization
- Exploratory Data Analysis
- Regression
- Classification
- Text Mining. .
- Notes:
- Description based upon print version of record.
- Includes bibliographical references.
- ISBN:
- 3-319-12066-2
- OCLC:
- 900885999
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