elements statistical learning (55 resultados)

Hardcover. Condición: Used; Good. **SHIPPED FROM UK** We believe you will be completely satisfied with our quick and reliable service. All orders are dispatched as swiftly as possible! Buy with confidence! Greener Books.

Condición: Very Good. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects.

hardcover. Condición: VeryGood. Page/Cover Damage, A copy that may have been read, very minimal wear and tear. May have a remainder mark.

hardcover. Condición: LikeNew. Pages are New and Unused, Front or Back cover is damaged- torn, wrinkled or dented., Used Like New, no missing pages, no damage to binding, may have a remainder mark.

Condición: good. A good reading copy. May contain markings or be a withdrawn library copy.

Hardcover. Condición: New. ISBN:9780387848570.

Hardcover. Condición: New. 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.

Hardcover. Condición: VeryGood. Hardcover. 9" x 6". xxii, 745, [1] pp. Numerous color graphs and modelsthroughout. Publisher's yellow boards, no DJ as issued. Binding slightlycocked, light shelf wear. Very Good. ISBN 9780387848570.

paperback. Condición: New. Language:Chinese.Paperback. Pub Date: 2020-12-01 Pages: 576 Publisher: Tsinghua University Press. Statistical Learning Elements: Data Mining. Inference and Prediction in Machine Learning (2nd Edition) is described in a general conceptual framework. Important ideas and concepts in the fields of data mining. machine learning. and bioinformatics.?The concepts in these statistical categories are the foundation of artificial intelligence and machine learning.?There are 18 chapters in the book. the.

Condición: new.

Paperback. Condición: Brand New. 422 pages. 11.00x8.50x0.96 inches. This item is printed on demand.