Research Catalog

Data science for business : [what you need to know about data mining and data-analytic thinking]

Title
Data science for business : [what you need to know about data mining and data-analytic thinking] / Foster Provost and Tom Fawcett.
Author
Provost, Foster, 1964-
Publication
Sebastopol, Calif. : O'Reilly, 2013.

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StatusFormatAccessCall NumberItem Location
TextUse in library QA76.9.D343 P76 2013Schwarzman Building - General Research Room 315

Details

Additional Authors
Fawcett, Tom.
Description
xxi, 386 pages : illustrations; 24 cm
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.
Alternative Title
  • What you need to know about data mining and data-analytic thinking
  • Data mining and data-analytic thinking
Subjects
Note
  • Subtitle from cover.
Bibliography (note)
  • Includes bibliographical references (pages 361-368) and index.
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.
Call Number
QA76.9.D343
ISBN
  • 1449361323
  • 9781449361327
OCLC
844460899
Author
Provost, Foster, 1964-
Title
Data science for business : [what you need to know about data mining and data-analytic thinking] / Foster Provost and Tom Fawcett.
Imprint
Sebastopol, Calif. : O'Reilly, 2013.
Edition
1st ed.
Type of Content
text
Type of Medium
unmediated
Type of Carrier
volume
Bibliography
Includes bibliographical references (pages 361-368) and index.
Added Author
Fawcett, Tom.
Research Call Number
QA76.9.D343 P76 2013
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