Data science for business : [what you need to know about data mining and data-analytic thinking] / Foster Provost and Tom Fawcett.
Material type: TextPublication details: Mumbai : O'Reilly, Shroff Publishers & Distributors, 2017.Description: xvii, 384 p. : ill. ; 24 cmISBN:- 9789351102670
- What you need to know about data mining and data-analytic thinking
- Data mining and data-analytic thinking
- 006.312 23 PRO
- QA76.9.D343 P76 2013
Item type | Current library | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|
Books | Learning Resource Centre | 006.312 PRO (Browse shelf(Opens below)) | Available | 13869 |
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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