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 : O'Reilly Media, 2013 - xxi, 386 p. : il.
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
9781449361327
DIF-M8481
MINERÍA DE DATOS
negocios
Data science for business : what you need to know about data mining and data-analytic thinking - Sebastopol : O'Reilly Media, 2013 - xxi, 386 p. : il.
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
9781449361327
DIF-M8481
MINERÍA DE DATOS
negocios