An Introduction to Statistical Learning
with Applications in R
Buchbewertung
Mehr zum Buch
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.
Buchkauf
An Introduction to Statistical Learning, Gareth James, Robert Tibshirani, Trevor Hastie, Daniela Witten
- Sprache
- Erscheinungsdatum
- 2022
- Einband
- (Paperback)
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- Titel
- An Introduction to Statistical Learning
- Untertitel
- with Applications in R
- Sprache
- Englisch
- Autor*innen
- Gareth James, Robert Tibshirani, Trevor Hastie, Daniela Witten
- Verlag
- Springer US
- Erscheinungsdatum
- 2022
- Einband
- Paperback
- Seitenzahl
- 624
- ISBN13
- 9781071614204
- Reihe
- Schlagwörter
- Wissenschaft, Technologie, Mathematik-Lehrbücher
- Bewertung
- 4,6 von 5 Sternen
- Beschreibung
- 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.