The Elements of Statistical Learning 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2025


The Elements of Statistical Learning

简体网页||繁体网页
T. Hastie 作者
Springer
译者
2003-07-30 出版日期
520 页数
USD 89.95 价格
Hardcover
丛书系列
9780387952840 图书编码

The Elements of Statistical Learning 在线电子书 图书标签: 机器学习  统计学习  数据挖掘  统计学  Statistics  数学  Learning  Data-Mining   


喜欢 The Elements of Statistical Learning 在线电子书 的读者还喜欢




下载链接1
下载链接2
下载链接3
    

想要找书就要到 图书目录大全
立刻按 ctrl+D收藏本页
你会得到大惊喜!!

发表于2025-02-26


The Elements of Statistical Learning 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2025

The Elements of Statistical Learning 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2025

The Elements of Statistical Learning 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2025



The Elements of Statistical Learning 在线电子书 用户评价

评分

1. 一点都不基础 被虐惨了 2. 新手千万不要看 3. 得读好几遍 = =

评分

typo太多了,勘误居然有100多页。不要买first printing。

评分

so clear and comprehensive

评分

对于machine learning 零基础的人来说,太过生涩了。进阶读物,新手慎入

评分

本书是高级版,还有一个低级本的,统计读这两本就对了

The Elements of Statistical Learning 在线电子书 著者简介

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 在线电子书 图书目录


The Elements of Statistical Learning 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

The Elements of Statistical Learning 在线电子书 图书描述

During the past decade there has been an explosion in computation and information technology. With it has 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 descibes 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 should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learing (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. 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 wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful <EM>An Introduction to the Bootstrap</EM>. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.

The Elements of Statistical Learning 在线电子书 下载 mobi epub pdf txt 在线电子书下载

想要找书就要到 图书目录大全
立刻按 ctrl+D收藏本页
你会得到大惊喜!!

The Elements of Statistical Learning 在线电子书 读后感

评分

中文翻译版大概是用google翻译翻的,然后排版一下,就出版了。所以中文翻译版中,每个单词翻译是对的,但一句话连起来却怎么也看不懂。最佳阅读方式是,看英文版,个别单词不认识的话,再看中文版对应的那个词。但如果英文版整个句子都不懂的话,那只有去借助baidu/google,并...  

评分

有人给我推荐这本书的时候说,有了这本书,就不再需要其他的机器学习教材了。 入手这本书的接下来两个月,我与教材中艰深的统计推断、矩阵、数值算法、凸优化等数学知识展开艰苦的斗争。于是我明白了何谓”不需要其他的机器学习教材“:准确地说,是其他的教材都不需要了;一本...  

评分

有人给我推荐这本书的时候说,有了这本书,就不再需要其他的机器学习教材了。 入手这本书的接下来两个月,我与教材中艰深的统计推断、矩阵、数值算法、凸优化等数学知识展开艰苦的斗争。于是我明白了何谓”不需要其他的机器学习教材“:准确地说,是其他的教材都不需要了;一本...  

评分

中文翻译版大概是用google翻译翻的,然后排版一下,就出版了。所以中文翻译版中,每个单词翻译是对的,但一句话连起来却怎么也看不懂。最佳阅读方式是,看英文版,个别单词不认识的话,再看中文版对应的那个词。但如果英文版整个句子都不懂的话,那只有去借助baidu/google,并...  

评分

对于新手来说,这本书和PRML比起来差太远,新手强烈建议去读PRML,接下来再看这本书。。我就举个最简单的例子吧,这本书的第二章overview of supervised learning和PRML的introduction差太远了。。。。读这本书的overview如果读者没有基础几乎不知所云。。但是PRML通过一个例子...  

类似图书 点击查看全场最低价

The Elements of Statistical Learning 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2025


分享链接





The Elements of Statistical Learning 在线电子书 相关图书




本站所有内容均为互联网搜索引擎提供的公开搜索信息,本站不存储任何数据与内容,任何内容与数据均与本站无关,如有需要请联系相关搜索引擎包括但不限于百度google,bing,sogou

友情链接

© 2025 book.wenda123.org All Rights Reserved. 图书目录大全 版权所有