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Provost, Foster, 1964-

Data science for business / What you need to know about data mining and data-analytic thinking Foster Provost and Tom Fawcett. - 1st ed. - Beijing : O'Reilly, 2013. - xviii, 384 pages : illustrations (black and white) ; 24 cm

CW819 Subtitle from cover.

Includes bibliographical references 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.

ISBN: 9781449361327: £26.99 1449361323

Subjects--Topical Terms:
Business--Data processing
Information science.
Big data.
Data mining.
Computers and IT.
Knowledge management
Data mining

LC Class. No.: / P7 2013

Dewey Class. No.: 006.312