http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
XI, 157 p. 155 illus., 26 illus. in color. online resource.
“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.
Introduction -- Overview of the R Programming Language -- Getting Data into R -- Data Visualization -- Exploratory Data Analysis -- Regression -- Classification -- Text Mining. .
Appl.Mathematics/Computational Methods of Engineering
Statistics and Computing/Statistics Programs