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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 technologies like wo...
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Lenguaje: | eng |
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Springer
2014
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Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-12066-9 http://cds.cern.ch/record/1980574 |
_version_ | 1780945261555613696 |
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author | Pathak, Manas A |
author_facet | Pathak, Manas A |
author_sort | Pathak, Manas A |
collection | CERN |
description | “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. |
id | cern-1980574 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2014 |
publisher | Springer |
record_format | invenio |
spelling | cern-19805742021-04-21T20:38:13Zdoi:10.1007/978-3-319-12066-9http://cds.cern.ch/record/1980574engPathak, Manas ABeginning data science with RMathematical Physics and Mathematics “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.Springeroai:cds.cern.ch:19805742014 |
spellingShingle | Mathematical Physics and Mathematics Pathak, Manas A Beginning data science with R |
title | Beginning data science with R |
title_full | Beginning data science with R |
title_fullStr | Beginning data science with R |
title_full_unstemmed | Beginning data science with R |
title_short | Beginning data science with R |
title_sort | beginning data science with r |
topic | Mathematical Physics and Mathematics |
url | https://dx.doi.org/10.1007/978-3-319-12066-9 http://cds.cern.ch/record/1980574 |
work_keys_str_mv | AT pathakmanasa beginningdatasciencewithr |