Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking

Provost, Foster

Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking - Sebastopol Shroff Publishers & Distributors Pvt. Ltd. 2013 - 384p

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 I: What Is a Good Model?
8. Visualizing Model Performance
9. Evidence and Probabilities
10. Representing and Mining Text
11. Decision Analytic Thinking II: Toward Analytical Engineering
12. Other Data Science Tasks and Techniques
13. Data Science and Business Strategy
14. Conclusion

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Big data - Information science

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