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An Introduction to Statistical Learning

with Applications in Python

Hodnocení knihy

Parametry

  • 624 stránek
  • 22 hodin čtení

Více o knize

This book serves as a comprehensive guide to statistical learning, focusing on the concepts and techniques that underpin data analysis and machine learning. It emphasizes practical applications, providing clear explanations and real-world examples to enhance understanding. The authors introduce key methods such as regression, classification, and clustering, making complex topics accessible to beginners. Additionally, the book includes exercises and labs, encouraging hands-on experience with statistical software, making it a valuable resource for students and professionals alike.

Vydání

Nákup knihy

An Introduction to Statistical Learning, Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, Jonathan Taylor

Jazyk
Rok vydání
2023
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Doručení

Platební metody

4,6
Výborná
84 Hodnocení

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Titul
An Introduction to Statistical Learning
Podtitul
with Applications in Python
Jazyk
anglicky
Rok vydání
2023
Vazba
pevná
Počet stran
624
ISBN13
9783031387463
Série
Hodnocení
4,6 z 5
Anotace
This book serves as a comprehensive guide to statistical learning, focusing on the concepts and techniques that underpin data analysis and machine learning. It emphasizes practical applications, providing clear explanations and real-world examples to enhance understanding. The authors introduce key methods such as regression, classification, and clustering, making complex topics accessible to beginners. Additionally, the book includes exercises and labs, encouraging hands-on experience with statistical software, making it a valuable resource for students and professionals alike.