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Parámetros
- 624 páginas
- 22 horas de lectura
Más información sobre el libro
This book serves as a comprehensive guide to statistical learning, emphasizing practical applications and theoretical foundations. It covers essential topics such as regression, classification, and resampling methods, making complex concepts accessible to readers with a background in statistics and mathematics. The inclusion of real-world examples and case studies enhances understanding, while accompanying software tools facilitate hands-on learning. Ideal for students and professionals alike, it bridges the gap between statistical theory and practical implementation in data analysis.
Compra de libros
An Introduction to Statistical Learning, Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
- Idioma
- Publicado en
- 2022
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- (Tapa blanda)
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- Subtítulo
- with Applications in R
- Idioma
- Inglés
- Editorial
- Springer US
- Publicado en
- 2022
- Formato
- Tapa blanda
- Páginas
- 624
- ISBN13
- 9781071614204
- Serie
- Etiquetas
- No ficción, Libros de texto, Tecnología & Ingeniería, Ordenadores & Internet, Ciencia, Tecnología, Libros de texto de matemáticas
- Calificación
- 4,6 de 5
- Descripción
- This book serves as a comprehensive guide to statistical learning, emphasizing practical applications and theoretical foundations. It covers essential topics such as regression, classification, and resampling methods, making complex concepts accessible to readers with a background in statistics and mathematics. The inclusion of real-world examples and case studies enhances understanding, while accompanying software tools facilitate hands-on learning. Ideal for students and professionals alike, it bridges the gap between statistical theory and practical implementation in data analysis.