Data science for business
By: Provost, Foster
Title By: Fawcett, Tom
Material type:
BookPublisher: Beijing : O'Reilly, c2013.Description: xxi, 386 p. : ill., map ; 24 cm.ISBN: 9781449361327Other title: Data science for business : what you need to know about data mining and data-analytic thinking.Subject(s): Data mining | Big data | Information science | Business -- Data processingDDC classification: 006.312 PR DA Online resources: Location Map | Item type | Home library | Call number | Status | Notes | Date due | Barcode | Item holds |
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| REGULAR | University of Wollongong in Dubai Main Collection | 006.312 PR DA (Browse shelf) | Checked out | April2018 | 09/30/2020 | T0058842 |
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| 006.312 OL DA Data mining models | 006.312 OL DA Data mining models | 006.312 PA HA Harness the power of Big Data : | 006.312 PR DA Data science for business | 006.312 PR ED Prediction and inference from social networks and social media | 006.312 RE CO Recommendation and search in social networks | 006.312 RO DA Data mining with decision trees : |
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 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.
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.