Data Mining for Business Analytics Concepts, Techniques, and Applications with JMP Pro

Free Download Shmueli, "Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro"
English | ISBN: 1118877438 | 2016 | 464 pages | PDF | 128 MB
Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro® presents an applied and interactive approach to data mining.

Featuring hands-on applications with JMP Pro®, a statistical package from the SAS Institute, the book
uses engaging, real-world examples to build a theoretical and practical understanding of key data mining methods, especially predictive models for classification and prediction. Topics include data visualization, dimension reduction techniques, clustering, linear and logistic regression, classification and regression trees, discriminant analysis, naive Bayes, neural networks, uplift modeling, ensemble models, and time series forecasting.
Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro® also includes:
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