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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: |
Leiden :
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 |
Tabla de Contenidos:
- Cover; Half-title; Series-title; Title; Copyright; Contents; Preface; Acknowledgments; Part I Introduction; 1 Prologue; 2 The landscape of learning machines; 3 A mangle of machines; 4 Three examples and several machines; Part II A machine toolkit; 5 Logistic regression; 6 A single decision tree; 7 Random Forests
- trees everywhere; Part III Analysis fundamentals; 8 Merely two variables; 9 More than two variables; 10 Resampling methods; 11 Error analysis and model validation; Part IV Machine strategies; 12 Ensemble methods
- let's take a vote; 13 Summary and conclusions; Appendix.
- A1: Software used in this bookA2: Data used in this book; References; Index.