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Data science for business / Foster Provost and Tom Fawcett.

By: Contributor(s): Material type: TextTextPublication details: Beijing : O'Reilly, 2013.Edition: 1st edDescription: xviii, 384 pages : illustrations (black and white) ; 24 cmISBN:
  • 9781449361327:
  • 1449361323
Other title:
  • What you need to know about data mining and data-analytic thinking [Cover title]
Subject(s): DDC classification:
  • 006.312
LOC classification:
  • P7 2013
Contents:
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.
Holdings
Item type Current library Call number Copy number Status Date due Barcode
General Lending Carlow Campus Library General Lending 006.312 (Browse shelf(Opens below)) 1 Available 76919
General Lending Carlow Campus Library General Lending 006.312 (Browse shelf(Opens below)) 1 Available 76920

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.

40.80

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