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Probabilistic Methods for Financial and Marketing Informatics (Cód: 2891836)

Neapolitan,richard E.; Jiang,Xia

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Probabilistic Methods for Financial and Marketing Informatics

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Descrição

Probabilistic Methods for Financial and Marketing Informatics aims to provide students with insights and a guide explaining how to apply probabilistic reasoning to business problems. Rather than dwelling on rigor, algorithms, and proofs of theorems, the authors concentrate on showing examples and using the software package Netica to represent and solve problems. The book contains unique coverage of probabilistic reasoning topics applied to business problems, including marketing, banking, operations management, and finance. It shares insights about when and why probabilistic methods can and cannot be used effectively. This book is recommended for all R&D professionals and students who are involved with industrial informatics, that is, applying the methodologies of computer science and engineering to business or industry information. This includes computer science and other professionals in the data management and data mining field whose interests are business and marketing information in general, and who want to apply AI and probabilistic methods to their problems in order to better predict how well a product or service will do in a particular market, for instance. Typical fields where this technology is used are in advertising, venture capital decision making, operational risk measurement in any industry, credit scoring, and investment science. Unique coverage of probabilistic reasoning topics applied to business problems, including marketing, banking, operations management, and financeShares insights about when and why probabilistic methods can and cannot be used effectivelyComplete review of Bayesian networks and probabilistic methods for those IT professionals new to informatics.

Características

Peso 0.00 Kg
Produto sob encomenda Sim
Marca ELSEVIER S&T
Idioma 337
Acabamento e-book
Territorialidade Internacional
Formato Livro Digital Pdf
Gratuito Não
Proteção Drm Sim
Tamanho do Arquivo 17754
Início da Venda 26/07/2010
Código do Formato Pdf
Cód. Barras 9780080555676
Ano da edição 32007
Ano da Publicação 2010
AutorNeapolitan,richard E.; Jiang,Xia