An Introduction to Statistical Learning

with Applications in R

Autori

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

Parametri

Pagine

624pagine

Tempo di lettura

22ore

• Computer, IT, programmazione
• Libri di testo
• Matematica
• Saggistica
• Scienza

Maggiori informazioni sul 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.

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Lingua: Inglese

Pubblicato: 2022

(In brossura)