Data science for business : what you need to know about data mining and data-analytic thinking / Foster Provost and Tom Fawcett.;What you need to know about data mining and data-analytic thinking

Provost, Foster, 1964-
Sebastopol, Calif. : O’Reilly, 2013.
Added to CLICnet on 03/12/2014

Subtitle from cover.
Includes bibliographical references (p. 359-366) and index.
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.

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Requested by Doree, S

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