Stephen Coggeshall & James Wu – Foundations Of Predictive Analytics

Stephen Coggeshall & James Wu – Foundations Of Predictive Analytics

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Description:

Drawing on the authors two decades of experience in applied modeling and data mining, Foundations of Predictive Analytics presents the fundamental background required for analyzing data and building models for many practical applications, such as consumer behavior modeling, risk and marketing analytics, and other areas. It also discusses a variety of practical topics that are frequently missing from similar texts.
The book begins with the statistical and linear algebra/matrix foundation of modeling methods, from distributions to cumulant and copula functions to CornishFisher expansion and other useful but hard-to-find statistical techniques.
It then describes common and unusual linear methods as well as popular nonlinear modeling approaches, including additive models, trees, support vector machine, fuzzy systems, clustering, nave Bayes, and neural nets.
The authors go on to cover methodologies used in time series and forecasting, such as ARIMA, GARCH, and survival analysis.
They also present a range of optimization techniques and explore several special topics, such as DempsterShafer theory.
An in-depth collection of the most important fundamental material on predictive analytics, this self-contained book provides the necessary information for understanding various techniques for exploratory data analysis and modeling. It explains the algorithmic details behind each technique (including underlying assumptions and mathematical formulations) and shows how to prepare and encode data, select variables, use model goodness measures, normalize odds, and perform reject inference.
Web Resource The books website at www.DataMinerXL.com offers the DataMinerXL software for building predictive models. The site also includes more examples and information on modeling.

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Business is the activity of making one’s living or making money by producing or buying and selling products (such as goods and services).
[need quotation to verify] Simply put, it is “any activity or enterprise entered into for profit.
It does not mean it is a company, a corporation, partnership, or have any such formal organization, but it can range from a street peddler to General Motors.”

Having a business name does not separate the business entity from the owner, which means that the owner of the business is responsible and liable for debts incurred by the business.
If the business acquires debts, the creditors can go after the owner’s personal possessions.
A business structure does not allow for corporate tax rates. The proprietor is personally taxed on all income from the business.

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