Provost, Foster,  1964- <br/><br/>
Data science for business 
 Data science for business : what you need to know about data mining and data-analytic thinking 
Foster Provost and Tom Fawcett 
 - Beijing :  O'Reilly,  c2013. 
 - xxi, 386 p. :  ill., map ;  24 cm. 
<br/><br/> Subtitle from cover. 
<br/><br/>
<br/><br/>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 avoidace -- 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. 
<br/><br/> This broad, deep, but not-too-technical guide introduces you to the fundamental principles of data science and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. 
<br/><br/><label>ISBN: </label>9781449361327 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Data mining<br/>Big data<br/>Information science<br/>Business--Data processing
<br/><br/><label>Dewey Class. No.: </label>006.312 PR DA