The Elements of Statistical Learning pdf epub mobi txt 电子书 下载 2024


The Elements of Statistical Learning

简体网页||繁体网页
T. Hastie
Springer
2003-07-30
520
USD 89.95
Hardcover
9780387952840

图书标签: 机器学习  统计学习  数据挖掘  统计学  Statistics  数学  Learning  Mining   


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    发表于2024-06-15

    The Elements of Statistical Learning epub 下载 mobi 下载 pdf 下载 txt 电子书 下载 2024

    The Elements of Statistical Learning epub 下载 mobi 下载 pdf 下载 txt 电子书 下载 2024

    The Elements of Statistical Learning pdf epub mobi txt 电子书 下载 2024



    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 mining tools including CART, MARS, and projection pursuit.

    The Elements of Statistical Learning 下载 mobi epub pdf txt 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 mining tools including CART, MARS, projection pursuit and gradient boosting.


    图书目录


    The Elements of Statistical Learning pdf epub mobi txt 电子书 下载
    想要找书就要到 笔趣阁图书下载中心
    立刻按 ctrl+D收藏本页
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    用户评价

    评分

    ESL跟PRML侧重很不一样。前者从frequentist的角度,后者从Bayesian的角度。Machine Learning a Prospective Approach则是二者中合。 感觉ESL讲的东西较PRML直觉性强很多。尤其是bayesian的一堆东西全没法计算,全是approximation,真用到实战中头疼得要死。而ESL上的方法多用bootstraping来近似贝叶斯学派的方法,实现简单太多。(第8章)

    评分

    最近在看,mark一下

    评分

    被称为工具书之神,被虐惨了,完全搞不懂

    评分

    感觉比PRML更清晰

    评分

    ESL跟PRML侧重很不一样。前者从frequentist的角度,后者从Bayesian的角度。Machine Learning a Prospective Approach则是二者中合。 感觉ESL讲的东西较PRML直觉性强很多。尤其是bayesian的一堆东西全没法计算,全是approximation,真用到实战中头疼得要死。而ESL上的方法多用bootstraping来近似贝叶斯学派的方法,实现简单太多。(第8章)

    读后感

    评分

    非常难,一点都不element,是本百科全书式的读物,如果是初学者,不建议读 很多章节也没有细节,概述性的东西,能看懂几章就很不错了 其实每章都可以写成一本书,都可以做很多篇的论文 全部读懂非常非常难,倒是作为用到哪个部分作为参考资料查查很不错  

    评分

    http://www-stat.stanford.edu/~hastie/local.ftp/Springer/ESLII_print3.pdf  

    评分

    我导师(stanford博士毕业)非常欣赏这本书,并把它作为我博士资格考试的参考教材之一。 感谢 ZHENHUI LI 提供的信息。本书作者已经将第二版的电子书放到网上,大家可以免费下载。 http://www-stat.stanford.edu/~tibs/ElemStatLearn/ 网上还有一份solution manual, 但是似乎...  

    评分

    读 ESL 快半年了,也读了差不多1/3,写个短评记录一下,等读完的时候再来改吧。然后简单对比下基本常见的机器学习教材。 我本科是学物理的,对于统计甚至概率论可以说是一无所知。入门的时候读的是周志华老师的《机器学习》,不过并没有读完的。一方面在家看书效率太低;另一...  

    评分

    非常难,一点都不element,是本百科全书式的读物,如果是初学者,不建议读 很多章节也没有细节,概述性的东西,能看懂几章就很不错了 其实每章都可以写成一本书,都可以做很多篇的论文 全部读懂非常非常难,倒是作为用到哪个部分作为参考资料查查很不错  

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    The Elements of Statistical Learning pdf epub mobi txt 电子书 下载 2024


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