Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking

By:

Provost, Foster

Contributor(s):

Fawcett, Tom

Material type: Text

TextPublication details: Shroff Publishers & Distributors Pvt. Ltd. 2013 SebastopolDescription: 384pISBN:

9789351102670

Subject(s):

Big data - Information science

DDC classification:

005.74 PRO

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Holdings
Item type	Current library	Item location	Collection	Call number	Status	Date due	Barcode	Item holds
Book	NIMA Knowledge Centre	9th Floor Reading Zone	General	005.74 PRO (Browse shelf(Opens below))	Available		M0036207

Total holds: 0

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

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