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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.

By: Contributor(s): Publication details: Sebastopol, Calif. : O'Reilly, 2013.Description: xviii, 386 p. : ill. ; 24 cmISBN:
  • 1449361323 (pbk.)
  • 9781449361327 (pbk.)
Other title:
  • What you need to know about data mining and data-analytic thinking
Subject(s):
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.
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Item type Current library Home library Collection Call number Materials specified Copy number Status Date due Barcode
AM PERPUSTAKAAN LINGKUNGAN KEDUA PERPUSTAKAAN LINGKUNGAN KEDUA KOLEKSI AM-P. LINGKUNGAN KEDUA - QA76.9.D343P736 3 (Browse shelf(Opens below)) 1 Available 00002119656

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 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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