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Data Mining and Business Analytics with R: Ledolter/Data Mining and Business Analytics with R by Johannes Ledolter(auth.) is a nonfiction available to read on EtoBox.

What is Data Mining and Business Analytics with R: Ledolter/Data Mining and Business Analytics with R about?

Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and simplification of large high-dimensional data sets. As a result, readers are provided with the needed guidance to model and interpret complicated data and become adept at building powerful models for prediction and classification. Highlighting both underlying concepts and practical computational skills, __Data Mining and Business Analytics with R__ begins with coverage of standard linear regression and the importance of parsimony in statistical modeling. The book includes important topics such as penalty-based variable selection (LASSO); logistic regression; regression and classification trees; clustering; principal components and partial least squares; and the analysis of text and network data. In addition, the book presents: • A thorough discussion and extensive demonstration of the theory behind the most useful data mining tools • Illustrations of how to use the outlined concepts in real-world situations • Readi

Who reads Data Mining and Business Analytics with R: Ledolter/Data Mining and Business Analytics with R?

Author

Johannes Ledolter(auth.)

Publisher

John Wiley & Sons, Incorporated

Published

2013

Language

EN

ISBN

9781118447147

Category

nonfiction

Subjects

Mathematics, Computer Science, Stem