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Data science for business / Foster Provost and Tom Fawcett.

By: Provost, Foster
Contributor(s): Fawcett, Tom
Call number: 006.312 P969D Material type: materialTypeLabelBookPublisher: Sebastopol, Calif. : O'Reilly Media, c2013. Description: xxi, 386 p. : ill., charts.ISBN: 9781449361327 (pbk.).Subject(s): Big data | Information science | Data mining | Business -- Data processing
Introduction: data-analytic thinking -- Business problems and data science solutions -- Introduction to predictive modeling: from correlation to supervised segmentation -- Fitting a model to data -- Overfitting and its avoidance -- Similarity, neighbors, and clusters -- Decision analytic thinking I: what is a good model? -- Visualizing model performance -- Evidence and probabilities -- Representing and mining text -- Decision analytic thinking II: toward analytical engineering -- Other data science tasks and techniques -- Data science and business strategy -- Conclusion -- Appendix A: Proposal review guide -- Appendix B: Another sample proposal.
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