Data science for business (Book, 2013) [WorldCat.org]
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Data science for business

Author: Foster Provost; Tom Fawcett
Publisher: Sebastopol : O'Reilly, 2013. ©2013
Edition/Format:   Print book : English : First editionView all editions and formats
Summary:
"This broad, deep, but not-too-technical guide introduces you to the fundamental principles of data science and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. By learning data science principles, you will understand the many data mining techniques in use today. More importantly, these principles underpin the processes and  Read more...
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Details

Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Foster Provost; Tom Fawcett
ISBN: 9781449361327 1449361323
OCLC Number: 962030452
Description: xxi, 386 pages : illustrations ; 23 cm
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 --
Proposal review guide --
Another sample proposal.
Responsibility: Foster Provost and Tom Fawcett.

Abstract:

"This broad, deep, but not-too-technical guide introduces you to the fundamental principles of data science and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. By learning data science principles, you will understand the many data mining techniques in use today. More importantly, these principles underpin the processes and strategies necessary to solve business problems through data mining techniques"--Page [4] of cover.

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