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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): Material type: TextTextPublication details: Mumbai : O'Reilly, Shroff Publishers & Distributors, 2017.Description: xvii, 384 p. : ill. ; 24 cmISBN:
  • 9789351102670
Other title:
  • What you need to know about data mining and data-analytic thinking
  • Data mining and data-analytic thinking
Subject(s): DDC classification:
  • 006.312 23 PRO
LOC classification:
  • QA76.9.D343 P76 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.
Summary: 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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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books Books Learning Resource Centre 006.312 PRO (Browse shelf(Opens below)) Available 13869
Total holds: 0

Subtitle from cover.

Includes bibliographical references (pages 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.

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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