Data science for business : [what you need to know about data mining and data-analytic thinking] /
What you need to know about data mining and data-analytic thinking
Foster Provost and Tom Fawcett.
- Sebastopol, Calif. : O'Reilly, 2013.
- xviii, 386 p. : ill. ; 24 cm.
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.
1449361323 (pbk.) 9781449361327 (pbk.) RM108.45
Data mining. Big data. Information science. Business--Data processing.