Features •One of only two books on big data on Intel prestigious recommended reading list •Provides step-by-step solutions to common problems facing data scientists, modelers, and marketers; other books typically provide outlined solutions. •Illustrations involve real problems, real data, and better solutions. •uniquely introduces two new machine-learning methods specifically tailored to database assessment of optimal model performance. •new edition will add latest methodologies as well as SAS coverage Summary The third edition of a bestseller, Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data is still the only book, to date, to distinguish between statistical data mining and machine-learning data mining. is a compilation of new and creative data mining techniques, which address the scaling-up of the framework of classical and modern statistical methodology, for predictive modeling and analysis of big data.





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