TY  - BOOK
AU  - Provost,Foster
AU  - Fawcett,Tom
TI  - Data science for business: [what you need to know about data mining and data-analytic thinking] 
SN  - 9789351102670
AV  - QA76.9.D343 P76 2013
U1  - 006.312 23
PY  - 2017///
CY  - Mumbai
PB  - O'Reilly, Shroff Publishers & Distributors
KW  - Data mining
KW  - Big data
KW  - Information science
KW  - Business
KW  - Data processing
KW  - Data Mining
KW  - Information Science
KW  - Commerce
KW  - Automatic Data Processing
N1  - 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
N2  - 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
ER  -