Foundations of Predictive Analytics

Both with a San Diego company, Wu and Coggeshall summarize techniques of data analysis and modeling that they have encountered and used during their two decades each in applied data mining across many different fields. They provide the information necessary to understand the common techniques for exploratory data analysis and modeling, and explain details of the algorithms behind these techniques, including underlying assumptions and mathematical formulations. Among their topics are properties of statistical distributions, linear modeling and regression, time series analysis, preparing data and selecting variables, and optimization methods. Annotation �穢2012 Book News, Inc., Portland, OR (booknews.com)