Data Science for Business : : What you Need to Know About Data Mining and Data-Analytic Thinking
Book - 2013 Adult Book / Nonfiction / Business & Economics / General / Provost, Foster None on shelf No requests on this item
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Subtitle from cover.
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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PUBLISHED
Sebastopol, Calif. : O'Reilly, [2013]
Year Published: 2013
Description: xxi, 386 pages : illustrations ; 24 cm.
Language: English
Format: Book
ISBN/STANDARD NUMBER
1449361323
9781449361327
ADDITIONAL CREDITS
Fawcett, Tom.
SUBJECTS
Data mining.
Big data.
Information science.
Business -- Data processing.