· 2013
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- 19,412citations
- 2013year
Short summary
This book provides a comprehensive overview of statistical learning methods, covering both supervised and unsupervised learning paradigms.
AI-generated from the title and abstract; the full text is not read.
Key points
- Covers supervised learning for prediction tasks.
- Includes unsupervised learning methods.
- Discusses key algorithms such as neural networks, support vector machines, classification trees, and boosting.
AI-generated from the title and abstract; the full text is not read.
Abstract
Covers supervised learning (prediction) to unsupervised learning. This book contains topics including neural networks, support vector machines, classification trees and boosting
The authors' abstract, as published at the source., 2013 · DOI ↗
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Field: Information Systems
Information SystemsComputer Science