TY  - BOOK
AU  - Provost,Foster
AU  - Fawcet,Tom
TI  - Data science for business: what you need to know about data mining and data-analytic thinking
SN  - 9781449361327
PY  - 2013///
CY  - Sebastopol
PB  -  O'Reilly Media
KW  - MINERÍA DE DATOS
KW  - negocios
N1  - Incluye índice y bibliografía;  Preface -- 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 -- A. Proposal Review Guide -- B. Another Sample Proposal -- Glossary -- C. Bibliography -- Index
ER  -