| Document Type
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BL
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| Record Number
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590128
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| Doc. No
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b419347
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| Main Entry
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Provost, Foster,1964-
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| Title & Author
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Data science for business : : [what you need to know about data mining and data-analytic thinking] /\ Foster Provost and Tom Fawcett
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| Edition Statement
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1st ed
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| Publication Statement
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Sebastopol, Calif. :: O'Reilly,, 2013
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| Page. NO
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xxi, 386 pages :: illustrations ;; 24 cm
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| ISBN
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1449361323
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: 9781449361327
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| Notes
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Subtitle from cover
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| Bibliographies/Indexes
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Includes bibliographical references (pages 361-368) and index
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| Contents
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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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| Abstract
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Provides an introduction to the fundamental principles of data science, walking the reader through the "data-analytic thinking" necessary for extracting useful knowledge and business value from collected data
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| Subject
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Data mining
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Big data
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Information science
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Business-- Data processing
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| Subject
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Data Mining
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Information Science
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Commerce
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| Subject
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Automatic Data Processing
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| Dewey Classification
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006.312
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| LC Classification
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QA76.9.D343P76 2013
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| Added Entry
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Fawcett, Tom
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| Cover Title
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What you need to know about data mining and data-analytic thinking
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