£59.51

Springer The Elements of Statistical Learning Hardcover Book

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£60.60 £58.98 £59.34 £59.69 £60.04 £60.39 £60.75 10 July 2026 24 July 2026 07 August 2026 21 August 2026 04 September 2026

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Description

Master complex data concepts with The Elements of Statistical Learning by Springer. This second edition provides a common conceptual framework for understanding important ideas across medicine, biology, finance, and marketing. While the approach is statistical, the text focuses on concepts rather than heavy mathematics to ensure accessibility. This book covers a broad range of topics, from supervised learning for prediction to unsupervised learning. Readers can explore neural networks, support vector machines, classification trees, and boosting. With many examples and color graphics, it serves as a valuable resource for statisticians and professionals interested in data mining within science or industry.

Key Features

This Springer Series in Statistics book is a hardcover edition that provides a deep look into data mining, inference, and prediction.

The text uses a conceptual approach rather than a purely mathematical one to explain statistical ideas in fields like finance and biology.

Content covers a wide scope of topics including neural networks, support vector machines, classification trees, and boosting.

The book includes many practical examples and uses color graphics to help illustrate complex data mining concepts.

This English language edition is designed for both supervised and unsupervised learning applications in science and industry.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
09 February 2009
Listed Since
11 July 2008

Barcode

No barcode data available

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