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The Elements of Statistical Learning: Data Mining, Inference, and Prediction

Trevor Hastie; Robert Tibshirani; Jerome H. Friedman · OpenAlex · 2013

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Covers supervised learning (prediction) to unsupervised learning. This book contains topics including neural networks, support vector machines, classification trees and boosting

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APA 7

Hastie, T, Tibshirani, R, & Friedman, J. H. (2013). The Elements of Statistical Learning: Data Mining, Inference, and Prediction. OpenAlex. https://doi.org/10.1007/978-0-387-84858-7

MLA

Hastie, Trevor, et al. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. OpenAlex, 2013. https://doi.org/10.1007/978-0-387-84858-7.

Chicago

Hastie, Trevor, Robert Tibshirani, and Jerome H. Friedman. 2013. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. OpenAlex. https://doi.org/10.1007/978-0-387-84858-7.

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Hastie, T, Tibshirani, R. and Friedman, J. H. 2013, The Elements of Statistical Learning: Data Mining, Inference, and Prediction, OpenAlex, available at: https://doi.org/10.1007/978-0-387-84858-7 [Accessed 6 Aug. 2026].

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Title
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
Author / contributors
Trevor Hastie; Robert Tibshirani; Jerome H. Friedman
Publisher
OpenAlex
Publication year
2013
Language
English

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