ISBN 13 : 978-1-449-36132-7

Contents :
Praise
Dedication
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
C. Bibliography
Index

Language : English

Location : Nice Library

Material : Paper

Statement : Présent

Owner : Bibliothèque