An Introduction to Statistical Learning

with Applications in R

Auteurs

• Gareth James
• Daniela Witten
• Trevor Hastie
• Robert Tibshirani

Paramètres

• Pages: 624 pages
• Temps de lecture: 22 heures

• Informatique, programmation
• Manuels
• Mathématiques
• Nonfiction
• Science

En savoir plus sur le livre

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.

Achat du livre

• Année de publication: 2022
• Reliure: (souple)