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Data Smart
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Table of Contents

Introduction xiii 1 Everything You Ever Needed to Know about Spreadsheets but Were Too Afraid to Ask 1 2 Cluster Analysis Part I: Using K-Means to Segment Your Customer Base 29 3 Naive Bayes and the Incredible Lightness of Being an Idiot 77 4 Optimization Modeling: Because That "Fresh Squeezed" Orange Juice Ain't Gonna Blend Itself 101 5 Cluster Analysis Part II: Network Graphs and Community Detection 155 6 The Granddaddy of Supervised Artificial Intelligence?Regression 205 7 Ensemble Models: A Whole Lot of Bad Pizza 251 8 Forecasting: Breathe Easy; You Can't Win 285 9 Outlier Detection: Just Because They're Odd Doesn?t Mean They're Unimportant 335 10 Moving from Spreadsheets into R 361 Conclusion 395 Index 401

About the Author

John W. Foreman is Chief Data Scientist for MailChimp.com, where he leads a data science product development effort called the Email Genome Project. As an analytics consultant, John has created data science solutions for The Coca-Cola Company, Royal Caribbean International, Intercontinental Hotels Group, Dell, the Department of Defense, the IRS, and the FBI.

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