Data science for business : [what you need to know about data mining and data-analytic thinking] / Foster Provost and Tom Fawcett.
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.
Record details
- ISBN: 1449361323 (pbk.)
- ISBN: 9781449361327 (pbk.)
- Physical Description: xxi, 386 pages : illustrations ; 24 cm
- Edition: First edition.
- Publisher: Sebastopol, Calif. : O'Reilly, 2013.
Content descriptions
General Note: | Subtitle from cover. |
Bibliography, etc. Note: | Includes bibliographical references (pages 361-368) and index. |
Formatted Contents Note: | 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. |
Search for related items by subject
Subject: | Data mining. Big data. Information science. Business > Data processing. Commerce. Electronic data processing. |
Available copies
- 0 of 1 copy available at SPARK Libraries.
Holds
- 0 current holds with 1 total copy.
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Location | Call Number / Copy Notes | Barcode | Shelving Location | Status | Due Date |
---|---|---|---|---|---|
Bethlehem Main Library | 006.312 (Text) | 33062008413115 | Adult Nonfiction | Checked Out | 04/27/2024 |