73.1% OFF

The Elements of Statistical Learning: Data Mining, Inference, and Prediction 2nd Edition, ISBN-13: 978-0387848570

Original price was: $50.00.Current price is: $13.46.

SKU: the-elements-of-statistical-learning-data-mining-inference-and-prediction-2nd-edition-isbn-13-978-0387848570-2 Category: Tags: , , , ,

Description

The Elements of Statistical Learning: Data Mining, Inference, and Prediction 2nd Edition, ISBN-13: 978-0387848570

[PDF eBook eTextbook]

  • Publisher: ‎ Springer; 2nd edition (January 1, 2016)
  • Language: ‎ English
  • 767 pages
  • ISBN-10: ‎ 0387848576
  • ISBN-13: ‎ 978-0387848570

This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of colour graphics. It is a valuable resource for statisticians and anyone interested in data mining in science or industry. The book’s coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book.

This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorisation, and spectral clustering. There is also a chapter on methods for “wide” data (p bigger than n), including multiple testing and false discovery rates.

Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.

What makes us different?

• Instant Download

• Always Competitive Pricing

• 100% Privacy

• FREE Sample Available

• 24-7 LIVE Customer Support

Reviews

There are no reviews yet.

Be the first to review “The Elements of Statistical Learning: Data Mining, Inference, and Prediction 2nd Edition, ISBN-13: 978-0387848570”
Cart
A History of Modern Psychology 5th Edition, ISBN-13: 978-1118833759A History of Modern Psychology 5th Edition, ISBN-13: 978-1118833759
$451.49
×
The Arithmetic of Elliptic Curves 2nd Edition by Joseph H. Silverman, ISBN-13: 978-0387094939The Arithmetic of Elliptic Curves 2nd Edition by Joseph H. Silverman, ISBN-13: 978-0387094939
$309.32
×
A Guide to the Project Management Body of Knowledge (PMBOK Guide) 5th Edition, ISBN-13: 978-1935589679A Guide to the Project Management Body of Knowledge (PMBOK Guide) 5th Edition, ISBN-13: 978-1935589679
$22.45
×
Theory of Constraints Handbook James F Cox III, ISBN-13: 978-0071665544Theory of Constraints Handbook James F Cox III, ISBN-13: 978-0071665544
$15.35
×
Psychology in Action (12th Edition) – eBookPsychology in Action (12th Edition) – eBook
$8.99
×