Description: The Elements of Statistical Learning by Keith Glover NEW. Description The Elements of Statistical Learning 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.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. Bo1
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Location: Dudley
End Time: 2024-10-16T07:25:52.000Z
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Type: Textbook
Format: Paperback
Language: English
Publication Name: the elements of statistical learning
Author: Keith Glover
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