Artboard 33 Artboard 16 Artboard 18 Artboard 15 Artboard 21 Artboard 1 Artboard 2 Artboard 5 Artboard 45 Artboard 45 Artboard 22 Artboard 9 Artboard 23 Artboard 17? Artboard 28 Artboard 43 Artboard 49 Artboard 47 Artboard 38 Artboard 32 Artboard 8 Artboard 22 Artboard 5 Artboard 25 Artboard 1 Artboard 42 Artboard 11 Artboard 41 Artboard 13 Artboard 23 Artboard 10 Artboard 4 Artboard 9 Artboard 20 Artboard 6 Artboard 11 Artboard 7 Artboard 3 Artboard 3 Artboard 12 Artboard 25 Artboard 34 Artboard 39 Artboard 24 Artboard 13 Artboard 19 Artboard 7 Artboard 24 Artboard 31 Artboard 4 Artboard 14 Artboard 27 Artboard 30 Artboard 36 Artboard 44 Artboard 12 Artboard 17 Artboard 17 Artboard 6 Artboard 27 Artboard 19 Artboard 30 Artboard 29 Artboard 29 Artboard 26 Artboard 18 Artboard 2 Artboard 20 Artboard 35 Artboard 15 Artboard 14 Artboard 48 Artboard 50 Artboard 26 Artboard 16 Artboard 40 Artboard 21 Artboard 29 Artboard 10 Artboard 37 Artboard 3 Artboard 3 Artboard 46 Artboard 8
e-book

Data Mining - Practical Machine Learning Tools and Techniques, Second Edition (Cód: 3024859)

Witten, Ian H.; Frank, Eibe

ELSEVIER S&T

Ooops! Este produto não está mais a venda.
Mas não se preocupe, temos uma versão atualizada para você.

Ooopss! Este produto está fora de linha, mas temos outras opções para você.
Veja nossas sugestões abaixo!

R$ 218,43 em até 7x de R$ 31,20 sem juros
Cartão Saraiva R$ 218,43 ou em até 10x de R$ 21,84 sem juros

Crédito:
Boleto:
Cartão Saraiva:

Total: R$0,00

Em até 7x sem juros de R$ 0,00


Data Mining - Practical Machine Learning Tools and Techniques, Second Edition

R$218,43

Descrição

Data Mining, Second Edition, describes data mining techniques and shows how they work. The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references. The highlights of this new edition include thirty new technique sections; an enhanced Weka machine learning workbench, which now features an interactive interface; comprehensive information on neural networks; a new section on Bayesian networks; and much more. This text is designed for information systems practitioners, programmers, consultants, developers, information technology managers, specification writers as well as professors and students of graduate-level data mining and machine learning courses.Algorithmic methods at the heart of successful data mining-including tried and true techniques as well as leading edge methodsPerformance improvement techniques that work by transforming the input or output

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
Início da Venda 13/07/2005
Código do Formato Pdf
Cód. Barras 9780080477022
Ano da edição 62005
Ano da Publicação 105
AutorWitten, Ian H.; Frank, Eibe