The Elements of Statistical Learning: Data...-so88
The Elements of Statistical Learning: Data... pdf epub mobi txt 电子书 下载 2022
图书介绍
☆☆☆☆☆
||
Trevor Hastie & Robert... 著
店铺: 澜瑞外文Lanree图书专营店 出版社: Springer ISBN:9780387848570 商品编码:1132486430 包装:精装 外文名称:The Elements of Statis... 出版时间:2009-02-01 页数:745 正文语种:英语
图书基本信息
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition
作者: Trevor Hastie;Robert Tibshirani;Jerome Friedman;
ISBN13: 9780387848570
类型: 精装(精装书)
语种: 英语(English)
出版日期: 2009-02-01
出版社: Springer
页数: 745
重量(克): 1383
尺寸: 23.622 x 16.256 x 3.556 cm
商品简介
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... 电子书 下载 mobi epub pdf txt
电子书下载地址:
相关电子书推荐:
- 文件名
- {RT}骑鲸蹈海:海洋军事与海军-“海洋梦”系列丛书编委会 合肥工业大学出版社 97875
- HJ 通信用240V直流供电系统 9787115354600 人民邮电出版社
- 鸟类博物馆
- 特禽养殖实用技术 杜炳旺 徐廷生 孟祥兵
- 圆顶龙的逆袭-决战恐龙星球-2
- 现代信息网 9787115087713 人民邮电出版社
- 写给中小学生的法布尔昆虫记 第十卷 的生活 9787542768438 法布尔(Fabre
- 如何投资养殖项目系列--投资养肉牛:你准备好了吗
- 老虎-第一次发现丛书
- 实用光伏手册:原理与应用(原著第2版)(下) Augustin McEvoy、Tom Ma
- 中国未解之谜(精致图文版) 龚勋
- 现代农业科技专著大系:中西结合兽医宝鉴
- 盐的景观,中国篇 9787503876769 朱千华-RT
- 9787565506307 规模化生态肉鸡养殖技术 中国农业大学出版社 黄仁录,陈辉
- 世界科普巨匠经典译丛 第二辑:自然的玄机(彩插版)