Data science for business? Foster provost and Fawcett Tom.
Material type: TextPublication details: Beijing: O'reilly, c2013.Description: xxi, 386p.: ill. : 24 cmISBN:- 9781449361327
- QA 76.9 .D343 .P76 2013
Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|
Books | Zetech Library - TRC General Stacks | Non-fiction | QA 76.9 .D343 .P76 2013 (Browse shelf(Opens below)) | C1. | Available | Z009516 |
Browsing Zetech Library - TRC shelves, Shelving location: General Stacks, Collection: Non-fiction Close shelf browser (Hides shelf browser)
QA76.9.D343 D38345 2009 Data mining : know it all / | QA76.9.D343G6 2009 Data mining: techniques and trends/ | QA76.9.D343 .M33 2019 Applying predictive analytics: finding value in data / | QA 76.9 .D343 .P76 2013 Data science for business? | QA76.9.D343 .T67 2020 Data mining with R : learning with case studies / | QA76.9 .D343 W58 2005 Data mining : practical machine learning tools and techniques / | QA76.9 .D343 W58 2005 Data mining : practical machine learning tools and techniques / |
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.
There are no comments on this title.