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Statistical learning for biomedical data /
This highly motivating introduction to statistical learning machines explains underlying principles in nontechnical language, using many examples and figures.
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cambridge ; New York :
Cambridge University Press,
2011.
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| Colección: | Practical guides to biostatistics and epidemiology.
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| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | This highly motivating introduction to statistical learning machines explains underlying principles in nontechnical language, using many examples and figures. "This book is for anyone who has biomedical data and needs to identify variables that predict an outcome, for two-group outcomes such as tumor/not-tumor, survival/death, or response from treatment. Statistical learning machines are ideally suited to these types of prediction problems, especially if the variables being studied may not meet the assumptions of traditional techniques. Learning machines come from the world of probability and computer science but are not yet widely used in biomedical research."--Publisher's website |
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| Descripción Física: | 1 online resource (xii, 285 pages) : illustrations |
| Bibliografía: | Includes bibliographical references and index. |
| ISBN: | 9780511993121 0511993129 9780511989308 051198930X 9780511975820 0511975821 1107218802 9781107218802 1282978349 9781282978348 9786612978340 6612978341 0511992092 9780511992094 0511987528 9780511987526 0511991118 9780511991110 |