Modeling Techniques in Predictive Analytics: Business Problems

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Modeling Techniques in Predictive Analytics: Business Problems and Solutions with R (FT Press Analytics)

Today, successful firms compete and win based on analytics. Modeling Techniques in Predictive Analytics brings together all the concepts, techniques, and R code you need to excel in any role involving analytics. Thomas W. Millerâ€™s unique balanced approach combines business context and quantitative tools, appealing to managers, analysts, programmers, and students alike. Miller addresses multiple business challenges and business cases, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, text analytics, sentiment analysis, and social network analysis. He illuminates the use of cross-sectional data, time series, spatial, and even spatio-temporal data. For each problem, Miller explains why the problem matters, what data is relevant, how to explore your data once youâ€™ve identified it, and then how to successfully model that data. Youâ€™ll learn how to model data conceptually, with words and figures; and then how to model it with realistic R programs that deliver actionable insights and knowledge. Miller walks you through model construction, explanatory variable subset selection, and validation, demonstrating best practices for improving out-of-sample predictive performance. He employs data visualization and statistical graphics in exploring data, presenting models, and evaluating performance. All example code is presented in R, todayâ€™s #1 system for applied statistics, statistical research, and predictive modeling; code is set apart from other text so itâ€™s easy to find for those who want it (and easy to skip for those who donâ€™t).

Country	USA
Author	Thomas W. Miller
Binding	Kindle Edition
Edition	1
EISBN	9780133412956
Format	Kindle eBook
Label	Pearson FT Press
Manufacturer	Pearson FT Press
NumberOfPages	348
PublicationDate	2013-08-23
Publisher	Pearson FT Press
ReleaseDate	2013-08-23
Studio	Pearson FT Press

Modeling Techniques in Predictive Analytics: Business Problems and Solutions with R (FT Press Analytics)

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