Foundations of predictive analytics
by Wu, James
Of techniques of data analysis and modeling that the authors have encountered and used in applied data mining across many different fields. The authors have worked in this field together and separately in many large and small companies, including the Los Alamos National Laboratory, Bank One (JPMorgan Chase), Morgan Stanley, and the startups of the Center for Adaptive Systems Applications (CASA), the Los Alamos Computational Group and ID Analytics. These techniques can be applied to traditional …
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- Full title :Foundations of predictive analytics / James Wu, Stephen Coggeshall.
Summary
Of techniques of data analysis and modeling that the authors have encountered and used in applied data mining across many different fields. The authors have worked in this field together and separately in many large and small companies, including the Los Alamos National Laboratory, Bank One (JPMorgan Chase), Morgan Stanley, and the startups of the Center for Adaptive Systems Applications (CASA), the Los Alamos Computational Group and ID Analytics. These techniques can be applied to traditional and nontraditional problems in a wide range of areas including consumer behavior modeling (credit, fraud, marketing), consumer products, stock forecasting, fund analysis, asset allocation, and equity and xed income options pricing.
Read More ↓Edition Statements
- Publication Date:cop. 2012.
Publication Statements
- Publisher(s):CRC Press
- Place of Publication:Boca Raton
- Language:eng
- Publication Date:cop. 2012.
The Physical Object
- Description:XIX, 317 str. : : ilustr. ; : 25 cm.
Edition Identifiers
- ISBN:9781439869468, 1439869464
- oclc:ocn840016149
- Dewey Decimal:006.3/12
Table of Contents
Properties of statistical distributions -- Important matrix relationships -- Linear modeling and regression -- Nonlinear modeling -- Time series analysis -- Data preparation and variable selection -- Model goodness measures -- Optimization methods -- Miscellaneous topics -- Useful mathematical relations -- DataMiner XL -- Microsoft Excel add-in for building predictive models.
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