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Parametre
- 607 stránok
- 22 hodin čítania
Viac o knihe
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.
Nákup knihy
An Introduction to Statistical Learning, Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
- Jazyk
- Rok vydania
- 2021
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- (pevná)
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- Podtitul
- with Applications in R
- Jazyk
- anglicky
- Vydavateľ
- Springer-Verlag GmbH
- Rok vydania
- 2021
- Väzba
- pevná
- Počet strán
- 607
- ISBN13
- 9781071614174
- Série
- Štítky
- Náučná literatúra, Učebnice, Technológie & Priemysel, Počítače & Internet, Veda, Technológia, Učebnice matematiky
- Hodnotenie
- 4,6 z 5
- Anotácia
- 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.