De: R$ 1.081,50Por: R$ 757,05ou X de
Economia de R$ 324,45Para envios internacionais, simule o frete no carrinho de compras.
Sinopse
After discussing the trajectory from data to insight to decision, the book describes four approaches to machine learning: information-based learning, similarity-based learning, probability-based learning, and error-based learning. Each of these approaches is introduced by a nontechnical explanation of the underlying concept, followed by mathematical models and algorithms illustrated by detailed worked examples. Finally, the book considers techniques for evaluating prediction models and offers two case studies that describe specific data analytics projects through each phase of development, from formulating the business problem to implementation of the analytics solution. The book, informed by the authors' many years of teaching machine learning, and working on predictive data analytics projects, is suitable for use by undergraduates in computer science, engineering, mathematics, or statistics; by graduate students in disciplines with applications for predictive data analytics; and as a reference for professionals.
Ficha técnica
Especificações
ISBN | 9780262029445 |
---|---|
Pré venda | Não |
Peso | 1000g |
Autor para link | NAMEE BRIAN MAC,KELLEHER JOHN D. |
Livro disponível - pronta entrega | Não |
Dimensões | 23 x 16 x 3 |
Idioma | Inglês |
Tipo item | Livro Importado |
Número de páginas | 624 |
Número da edição | 1ª EDIÇÃO - 2015 |
Código Interno | 891687 |
Código de barras | 9780262029445 |
Acabamento | HARDCOVER |
Autor | NAMEE, BRIAN MAC | KELLEHER, JOHN D. |
Editora | MIT PRESS |
Sob encomenda | Sim |