Modeling Techniques in Predictive Analytics

Business & Economics / Statistics, Computers / Mathematical & Statistical Software, Ebook

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. Miller’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 you’ve identified it, and then how to successfully model that data. You’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, today’s #1 system for applied statistics, statistical research, and predictive modeling; code is set apart from other text so it’s easy to find for those who want it (and easy to skip for those who don’t).

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Modeling Techniques In Predictive Analytics


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Author by : Thomas W. Miller
Languange Used : en
Release Date : 2014-09-29
Publisher by : FT Press

To succeed with predictive analytics, you must understand it on three levels: Strategy and management Methods

Marketing Data Science


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Author by : Thomas W. Miller
Languange Used : en
Release Date : 2015-05-02
Publisher by : FT Press

Now , a leader of Northwestern University's prestigious analytics program presents a fully-integrated treatmen

Modeling Techniques In Predictive Analytics With Python And R


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Author by : Thomas W. Miller
Languange Used : en
Release Date : 2014-09-29
Publisher by : FT Press

Master predictive analytics, from start to finish Start with strategy and management Master methods and build

Web And Network Data Science


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Author by : Thomas W. Miller
Languange Used : en
Release Date : 2014-12-19
Publisher by : FT Press

Master modern web and network data modeling: both theory and applications. In Web and Network Data Science, a

Mastering Predictive Analytics With R


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Author by : Rui Miguel Forte
Languange Used : en
Release Date : 2015-06-17
Publisher by :

This book is intended for the budding data scientist, predictive modeler, or quantitative analyst with only a

Applied Predictive Modeling


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Author by : Max Kuhn
Languange Used : en
Release Date : 2013-05-17
Publisher by : Springer Science & Business Media

Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps o

Applied Predictive Analytics


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Author by : Dean Abbott
Languange Used : en
Release Date : 2014-04-14
Publisher by : John Wiley & Sons

Learn the art and science of predictive analytics — techniques that get results Predictive analytics is what

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