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e-book : Data Science for Business : What You Need to Know About Data Mining and Data-Analytic Thinking.

Ebook

PROVOST Foster ; FAWCETT Tom

O'REILLY MEDIA

2013

386

DATA ANALYSIS ; ALGORITHM ; MATHEMATICS ; STATISTICS ; QUANTITATIVE ANALYSIS

Link to the ebook : https://login.ezproxy.univ-catholille.fr/login?url=https://s...

eISBN : 9781449374280

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 : Electronic

Statement : Présent

Owner : Bibliothèque