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02367nam a22004695i 4500 |
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978-3-319-12066-9 |
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DE-He213 |
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20151028111440.0 |
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cr nn 008mamaa |
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141208s2014 gw | s |||| 0|eng d |
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|a 9783319120669
|9 978-3-319-12066-9
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7 |
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|a 10.1007/978-3-319-12066-9
|2 doi
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|d GrThAP
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|a TA329-348
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|a TA640-643
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|a TBJ
|2 bicssc
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|a MAT003000
|2 bisacsh
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|a 519
|2 23
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|a Pathak, Manas A.
|e author.
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|a Beginning Data Science with R
|h [electronic resource] /
|c by Manas A. Pathak.
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| 264 |
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2014.
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| 300 |
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|a XI, 157 p. 155 illus., 26 illus. in color.
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Introduction -- Overview of the R Programming Language -- Getting Data into R -- Data Visualization -- Exploratory Data Analysis -- Regression -- Classification -- Text Mining. .
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|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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|a Engineering.
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|a Statistics.
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|a Applied mathematics.
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|a Engineering mathematics.
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|a Engineering.
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|a Appl.Mathematics/Computational Methods of Engineering.
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| 650 |
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|a Statistics and Computing/Statistics Programs.
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| 650 |
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|a Signal, Image and Speech Processing.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
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|t Springer eBooks
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| 776 |
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8 |
|i Printed edition:
|z 9783319120652
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| 856 |
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|u http://dx.doi.org/10.1007/978-3-319-12066-9
|z Full Text via HEAL-Link
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|a ZDB-2-SMA
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|a Mathematics and Statistics (Springer-11649)
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