About this Textbook During the past decade there has been an explosion in computation and information technology. The many topics include neural networks, support vector machines, classification trees and boosting - the first comprehensive treatment of this topic in any book Includes more than pages of four-color graphics see more benefits.īuy eBook.
#An introduction to statistical learning solutions series
Springer Series in Statistics Free Preview. Computer Science Artificial Intelligence. JavaScript is currently disabled, this site works much better if you enable JavaScript in your browser. Springer Reference Works are not included. Only valid for books with an ebook version. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression and path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. The many topics include neural networks, support vector machines, classification trees and boostingthe first comprehensive treatment of this topic in any book. The book's coverage is broad, from supervised learning prediction to unsupervised learning. Many examples are given, with a liberal use of color graphics. While the approach is statistical, the emphasis is on concepts rather than mathematics. This book describes the important ideas in these areas in a common conceptual framework. Many of these tools have common underpinnings but are often expressed with different terminology. 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. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. During the past decade there has been an explosion in computation and information technology.
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