Data science for business? Foster provost and Fawcett Tom.
Material type:
- 9781449361327
- QA 76.9 .D343 .P76 2013
Item type | Current library | Collection | Call number | Copy number | Status | Barcode | |
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Zetech Library - Ruiru Campus General Stacks | Non-fiction | QA 76.9 .D343 .P76 2013 (Browse shelf(Opens below)) | C1. | Available | Z009516 |
includes indexes.
Introduction: Data analytic thinking -- Business problems and data science solutions -- Introduction to predictive modelling: From correlation to supervised segmentation -- Fitting a model to data -- Overfitting and its avoidance -- Similarity, neighbours and clusters -- Decision analytic thinking I: What is a good model? -- Visualizing model performance -- Evidence and probabilities -- Representing and miming text.
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