An Introduction to Statistical Learning

with Applications in R

Auteurs

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

Paramètres

• Pages: 607 pages
• Temps de lecture: 22 heures

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

En savoir plus sur le livre

Focusing on the principles of statistical learning, this book provides a comprehensive overview of key concepts and techniques used in data analysis. It emphasizes practical applications and includes real-world examples to illustrate methods such as regression, classification, and resampling. Designed for readers with a background in statistics and some programming knowledge, it balances theoretical foundations with hands-on exercises, making it an essential resource for anyone looking to deepen their understanding of statistical modeling and machine learning.

Achat du livre

• Année de publication: 2021
• Reliure: (rigide)