Data science for business : what you need to know about data mining and data-analytic thinking
| Autor Principal: | |
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| Otros autores o Colaboradores: | |
| Formato: | Libro |
| Lengua: | inglés |
| Datos de publicación: |
Sebastopol :
O'Reilly Media,
2013
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| Temas: | |
| Acceso en línea: | Consultar en el Cátalogo |
| Notas: | Incluye índice y bibliografía. |
| Descripción Física: | xxi, 386 p. : il. |
| ISBN: | 9781449361327 |
Tabla de Contenidos:
- 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