Free Data Mining and Business Analytics with R

[PDF.bMS8] Data Mining and Business Analytics with R

[PDF.bMS8] Data Mining and Business Analytics with R

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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 Readily available additional data sets and related R code allowing readers to apply their own analyses to the discussed materials Numerous exercises to help readers with computing skills and deepen their understanding of the material Data Mining and Business Analytics with R is an excellent graduate-level textbook for courses on data mining and business analytics. The book is also a valuable reference for practitioners who collect and analyze data in the fields of finance, operations management, marketing, and the information sciences. What is data mining? - Definition from WhatIscom Data mining is the process of sorting through large data sets to identify patterns and establish relationships to solve problems through data analysis Data mining Data Mining for Business Analytics Concepts Techniques For users of our XLMiner edition please note that XLMiner is now part of Analytic Solver a comprehensive analytics toolkit that includes data mining optimization What is big data analytics? - Definition from WhatIscom Big data analytics benefits Driven by specialized analytics systems and software big data analytics can point the way to various business benefits including new Blogs on Big Data Business Analytics Data Mining and Here are some of the most interesting and regularly-updated blogs on Analytics Big Data Data Science Data Mining and Machine Learning in alphabetical order Webinar: Google Analytics Data Mining with R (includes 3 Learn how to use R for Google Analytics data mining & generate great insights Webinar Includes 3 Real Applications of using Google Analytics data set with R Data Mining and Predictive Analytics Tips tricks and comments in data mining and predictive analytics including data preprocessing visualization modeling and model deployment KDnuggets - Analytics Data Mining and Data Science Data mining and knowledge discovery resources RDataMiningcom: R and Data Mining Examples documents and resources on Data Mining with R incl decision trees clustering outlier detection time series analysis association rules text mining and Data Mining for Business Analytics: Concepts Techniques Data Mining for Business Analytics: Concepts Techniques and Applications in XLMiner Third Edition presents an applied approach to data mining and predictive Statisticscom - Data Mining - R Who Should Take This Course: R users who want to learn how to apply R to data mining Data mining analysts in search of new tools Students in statisticscom's PASS
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