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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.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Malley, James D.
Otros Autores: Malley, Karen G., Pajevic, Sinisa
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Leiden : Cambridge University Press, 2011.
Colección:Practical guides to biostatistics and epidemiology.
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a Statistical Learning for Biomedical Data. 
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490 1 |a Practical Guides to Biostatistics and Epidemiology 
505 0 |a 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. 
505 8 |a A1: Software used in this bookA2: Data used in this book; References; Index. 
520 |a This highly motivating introduction to statistical learning machines explains underlying principles in nontechnical language, using many examples and figures. 
588 0 |a Print version record. 
504 |a Includes bibliographical references and index. 
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700 1 |a Malley, Karen G. 
700 1 |a Pajevic, Sinisa. 
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830 0 |a Practical guides to biostatistics and epidemiology. 
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