Hastie, Trevor
The Elements of Statistical Learning (Springer Series in Statistics)
- ISBN 13:
- 9780387848570
- author:
- Hastie, Trevor
- format:
- HardBack
- publisher:
- Springer
- language:
- English
- Publication Year:
- 2017
- Pages:
- 746
- Dimensions:
- 155 mm X 235 mm
- Genre:
- Medicine Textbook
- Condition:
- New
- Availability:
- Item usually sent within 4 working days
Description
Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition This book provides a comprehensive framework for understanding key concepts in various fields, including medicine, biology, finance, and marketing. The approach is statistical, but focuses on concepts rather than mathematical techniques. The authors use a wide range of examples, including colour graphics, to illustrate their points. The book covers a broad range of topics, including supervised and unsupervised learning, neural networks, support vector machines, and boosting. The second edition features new topics not covered in the original, such as graphical models, random forests, and spectral clustering. It also includes a chapter on handling "wide" data, including methods for multiple testing and false discovery rates. Suitable for statisticians and anyone interested in data mining, this book offers a valuable resource for understanding the principles behind data analysis and prediction.
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