The Elements of Statistical Learning: Data... pdf epub mobi txt 電子書 下載 2024

圖書介紹


The Elements of Statistical Learning: Data...


Trevor Hastie & Robert... 著



點擊這裡下載
    


想要找書就要到 求知書站
立刻按 ctrl+D收藏本頁
你會得到大驚喜!!

发表于2024-12-23

類似圖書 點擊查看全場最低價

店鋪: 瀾瑞外文Lanree圖書專營店
齣版社: Springer
ISBN:9780387848570
商品編碼:1132486430
包裝:精裝
外文名稱:The Elements of Statis...
齣版時間:2009-02-01
頁數:745
正文語種:英語

The Elements of Statistical Learning: Data... epub 下載 mobi 下載 pdf 下載 txt 電子書 下載 2024

相關圖書



The Elements of Statistical Learning: Data... epub 下載 mobi 下載 pdf 下載 txt 電子書 下載 2024

The Elements of Statistical Learning: Data... pdf epub mobi txt 電子書 下載 2024



具體描述

圖書基本信息

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition
作者: Trevor Hastie;Robert Tibshirani;Jerome Friedman;
ISBN13: 9780387848570
類型: 精裝(精裝書)
語種: 英語(English)
齣版日期: 2009-02-01
齣版社: Springer
頁數: 745
重量(剋): 1383
尺寸: 23.622 x 16.256 x 3.556 cm

商品簡介

During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. 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. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas 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 color 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 factorization, 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.


The Elements of Statistical Learning: Data... 下載 mobi epub pdf txt 電子書
The Elements of Statistical Learning: Data... pdf epub mobi txt 電子書 下載
想要找書就要到 求知書站
立刻按 ctrl+D收藏本頁
你會得到大驚喜!!

用戶評價

評分

評分

評分

評分

評分

評分

評分

評分

評分

類似圖書 點擊查看全場最低價

The Elements of Statistical Learning: Data... pdf epub mobi txt 電子書 下載





相關圖書


本站所有內容均為互聯網搜索引擎提供的公開搜索信息,本站不存儲任何數據與內容,任何內容與數據均與本站無關,如有需要請聯繫相關搜索引擎包括但不限於百度google,bing,sogou

友情鏈接

© 2024 tushu.tinynews.org All Rights Reserved. 求知書站 版权所有