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＜電子ブック＞
Beginning Data Science with R / by Manas A. Pathak

版	1st ed. 2014.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2014
大きさ	XI, 157 p. 155 illus., 26 illus. in color : online resource
著者標目	*Pathak, Manas A author SpringerLink (Online service)
件　名	LCSH:Engineering mathematics LCSH:Engineering—Data processing LCSH:Mathematical statistics—Data processing LCSH:Signal processing FREE:Mathematical and Computational Engineering Applications FREE:Statistics and Computing FREE:Signal, Speech and Image Processing
一般注記	Introduction -- Overview of the R Programming Language -- Getting Data into R -- Data Visualization -- Exploratory Data Analysis -- Regression -- Classification -- Text Mining.   “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 HTTP:URL=https://doi.org/10.1007/978-3-319-12066-9

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