Data science for business

Título:

Data science for business: what you need to know about data mining and data-analytic thinking

Autor:

Provost, Foster

Colaboradores:

Fawcet, Tom

Temas:

MINERÍA DE DATOS ; 

Palabras clave:

negocios; 

Localización electrónica:

Descripción física:

xxi, 386 p. :il.

ISBN:

9781449361327

Idioma:

Inglés, 

País:

Estados Unidos

Publicación:

Sebastopol : O'Reilly Media, 2013

Nota general:

Incluye índice y bibliografía.

Puede solicitar más fácilmente el ejemplar con: H.2.8 PRO

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