An Introduction to Statistical Learning
with Applications in R
Ocena książki
Parametry
- 624 strony
- 22 godziny czytania
Więcej o książce
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.
Zakup książki
An Introduction to Statistical Learning, Gareth James, Robert Tibshirani, Trevor Hastie, Daniela Witten
- Język
- Rok wydania
- 2022
- Oprawa
- (miękka)
Metody płatności
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- Tytuł
- An Introduction to Statistical Learning
- Podtytuł
- with Applications in R
- Język
- angielski
- Wydawca
- Springer US
- Rok wydania
- 2022
- Oprawa
- miękka
- Liczba stron
- 624
- ISBN13
- 9781071614204
- Seria
- Kategorie
- Ocena
- 4,6 z 5
- Opis
- 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.