




Modeling Techniques in Predictive Analytics, authored by Thomas W. Miller, is a book that comprises of Business Problems and Solutions with R.
Summary of the Book
Thomas tries to address questions like what data is relevant to us, how to explore data, and how to model data in this comprehensive book. The book helps in learning modeling techniques conceptually, both with figures and words and eventually mathematically, with highly efficient R programmes. It covers segmentation, finance, sports analytics, brand positioning, product choice modeling, social network analysis and web/text analytics among many other topics. It aids the readers in making the most of the traditional, data visualization, statistical graphics and also machine learning techniques. The book attempts to detail on the wide range of applications and the ease of use of R as a powerful way to address certain problems.
About Thomas W. Miller
Thomas W. Miller is the Faculty of the Predictive Analytics Program taught at the North Western University. He is the designer of the program. He completed his PhD in Psychology at the University of Minnesota and later completed MBA and Masters in Economics at the University of Oregon. He has vast experience in teaching and has taught subjects like Data Visualization, Marketing Analysis and Advanced Modeling Techniques among many others. He was previously in the Business IT world. Some of the Books authored by Thomas are Data and Text Mining: A Business Applications Approach, Research and Information Services: An Integrated Approach for Business, and Without a Tout: How to Pick a Winning Team. Apart from all these, Miller is also the President and the Owner of Research Publishers LLC.
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