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

Name: The Elements of Statistical Learning: Data Mining, Inference, and Prediction
Rating: 5 (1 reviews)

ISBN-10: 1489905197
ISBN-13: 9781489905192
Series: The Elements of Statistical Learning
Category: Artificial intelligence
Pages: 546
Language: English
Published: 2001
Authors: R. Tibshirani, J. Friedman

Description

During the past decade there has been an explosion in computation and information technology.; With it has come a vast amount of data in a variety of fields such as medicine, biology, finance, and marketing.; The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics.; Many of these tools have common underpinnings but are often expressed with different terminology.; This book describes the important ideas in these areas in a common conceptual framework.; While the approach is statistical, the emphasis is on concepts rather than mathematics.

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Other editions

The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- 2009
- 745 pages
- Paperback
- -
The Elements of Statistical Learning
- 2016-12-05
- 422 pages
- Paperback
- Createspace Independent Publishing Platform
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- 2013-11-11
- 536 pages
- Ebook
- Springer Science & Business Media
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- 2013-07-28
- 536 pages
- Paperback
- Springer

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