Data science for business

Abstract

1.Introduction: Data-Analytic Thinking -- 2. Business Problems and Data Science Solutions -- 3. Introduction to Predictive Modeling: From Correlation to Supervised Segmentation -- 4. Fitting a Model to Data -- 5. Overfitting and Its Avoidance -- 6. Similarity, Neighbors, and Clusters -- 7. Decision Analytic Thinking 1: What ls a Good Model? -- 8. Visualizing Model Performance -- 9. Evidence and Probabilities -- 10. Representing and Mining Text -- 11. Decision Analytic Thinking 11: Toward Analytical Engineering -- 12. Other Data Science Tasks and Techniques -- 13. Data Science and Business Strategy -- 14. Conclusion.