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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.
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An Introduction to Statistical Learning, Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, Jonathan Taylor
- Language
- Released
- 2023
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- (Hardcover)
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- Title
- An Introduction to Statistical Learning
- Subtitle
- with Applications in Python
- Language
- English
- Publisher
- Springer International Publishing
- Released
- 2023
- Format
- Hardcover
- Pages
- 624
- ISBN13
- 9783031387463
- Category
- Mathematics
- Description
- 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.