Data Mining for Business Analytics: Concepts, Techniques, and Applications in R

Download ^ Data Mining for Business Analytics: Concepts, Techniques, and Applications in R PDF by # Galit Shmueli, Peter C. Bruce, Inbal Yahav, Nitin R. Patel, Kenneth C. Lichtendahl Jr eBook or Kindle ePUB Online free. Data Mining for Business Analytics: Concepts, Techniques, and Applications in R ]

Data Mining for Business Analytics: Concepts, Techniques, and Applications in R

Author :
Rating : 4.56 (544 Votes)
Asin : 1118879368
Format Type : paperback
Number of Pages : 584 Pages
Publish Date : 2013-08-25
Language : English

DESCRIPTION:

It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. James, University of Southern California and co-author (with Witten, Hastie and Tibshirani) of the best-selling book An Introduction to Statistical Learning, with Applications in R. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology.“This book has by far the most comprehensive review of business analytics methods that I have ever seen, covering eve

James, University of Southern California and co-author (with Witten, Hastie and Tibshirani) of the best-selling book An Introduction to Statistical Learning, with Applications in R. From the Back CoverData Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and methods, using R software for illustration Readers will learn how to implement a variety of popular data mining algorithms in R (a free and open-source software) to tackle business problems and opportunities.This is the fifth version of this successful text, and the first using R. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, com

A Fellow of the American Statistical Association, Dr. Bruce is President and Founder of the Institute for Statistics Education at Statistics. She has designed and instructed data mining courses since 2004 at University of Maryland, Statistics, Indian School of Business, and National Tsing Hua University, Taiwan. Patel has also served as a Visiting Professor at the Massachusetts Institute of Technology and at Ha

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