Data Mining for Business Analytics: Concepts, Techniques, and Applications in R by Galit Shmueli, Peter C. Bruce, Inbal Yahav, Nitin R. Patel, Kenneth C. Lichtendahl
Requirements: .ePUB reader, 7.0 MB
Overview: Data 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. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. It also includes:
Genre: Non-Fiction > Tech & Devices
Download Instructions:
(Closed Filehost) http://uploadocean.com/t335v0f7h7nb
(Closed Filehost) http://upload4earn.net/c7un3own4ksn
Requirements: .ePUB reader, 7.0 MB
Overview: Data 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. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. It also includes:
Genre: Non-Fiction > Tech & Devices
Download Instructions:
(Closed Filehost) http://uploadocean.com/t335v0f7h7nb
(Closed Filehost) http://upload4earn.net/c7un3own4ksn