TY  - BOOK
AU  - Provost, Foster
AU  - Fawcett, Tom
TI  - Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
SN  - 9789351102670
U1  - 005.74 
PY  - 2013///
CY  - Sebastopol
PB  - Shroff Publishers & Distributors Pvt. Ltd.
KW  - Big data - Information science 
N1  - 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
ER  -