Stata统计分析与行业应用案例详解（第2版）

The Elements of Statistical Learning

The Elements of Statistical Learning，经典巨作，机器学习人员都应该认真读读，本书作者还是Boosting方法最活跃的几个研究人员，阅读原作者的书会使你理解更深刻！

The elements of statistical learning

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.

The Elements of Statistical Learning 统计学习基础

The Elements of Statistical Learning 统计学习基础，包括中文影印版、英文第二版、英文答案3个pdf

《The Elements of Statistical Learning》教材答案

《The Elements of Statistical Learning》是一本由Trevor Hastie / Robert Tibshiran著作，Springer出版的Hardcover图书，本书只是提供了机器学习、数据挖掘、模式识别等领域的统计学观点，所以还是建议继续阅读其他的相关书籍，以期达到融会贯通。

The Elements of Statistical Learning (2nd edition).pdf

The Elements of Statistical Learning (2nd edition).pdf

The Elements of Statistical Learning 答案

统计学习精要 答案

（ESL高清彩色英文+中文）The Elements of Statistical Learning

来自于斯坦福大学统计学院Hastie教授的经典教材，（ESL高清彩色英文+中文）The Elements of Statistical Learning。内容广泛，包括有监督学习、无监督学习等等，是从事数据挖掘和机器学习研究的经典教材。

The Elements of Statistical Learning:Travor Hastie(2ed) 2018 中文+英文版+习题解

《统计学习基础-数据挖掘、推理与预测》 The Elements of Statistical Learning:Data Mining, Inference, and Prediction：Travor Hastie(2ed) 2018 中文+英文合并版第2版+习题答案

Elements of Statistical Learning

Elements of Statistical Learning_ data mining, inference, and prediction. 2nd Edition.大师之作，统计学习领域最好的书了，就是有点难，入门不那么容易，如果学了线性模型的话还好一点

The_Elements_of_Statistical_Learning（统计学习精要）

豆瓣评分9.5的好书，斯坦福大学课程用书，有需要的大神们拿去看看吧

The Elements of Statistical Learning ESLII

The Elements of Statistical Learning ESLII 2017.09.10从Stanford官网上下载的https://web.stanford.edu/~hastie/Papers/ESLII.pdf 自己加了 书签目录 如有遗漏错误请多包涵

The Elements of Statistical Learning.pdf

The Elements of Statistical Learning 本资源转载自网络，如有侵权，请联系上传者或csdn删除

Elements of Statistical Learning高清pdf

Elements of Statistical Learning高清pdf，Elements of Statistical Learning高清pdf，Elements of Statistical Learning高清pdf，Elements of Statistical Learning高清pdf

The Elements of Statistical Learning（高清原版）

ESL第二版，机器学习的经典理论书籍。高清原版，原汁原味。

The Elements of Statistical Learning 2nd edition (2016)

李航老师《统计学习》主要参考书目。勘误更新后版本，建有书签。 The Elements of Statistical Learning，745 pages Publisher: Springer; 2nd edition (2016) Language: English ISBN-10: 0387848576 ISBN-13: 978-0387848570 《统计学习基础(第2版)(英文)》内容简介：计算和信息技术的飞速发展带来了医学、生物学、财经和营销等诸多领域的海量数据。理解这些数据是一种挑战，这导致了统计学领域新工具的发展，并延伸到诸如数据挖掘、机器学习和生物信息学等新领域。许多工具都具有共同的基础，但常常用不同的术语来表达。《统计学习基础(第2版)(英文)》介绍了这些领域的一些重要概念。尽管应用的是统计学方法，但强调的是概念，而不是数学。许多例子附以彩图。《统计学习基础(第2版)(英文)》内容广泛，从有指导的学习（预测）到无指导的学习，应有尽有。包括神经网络、支持向量机、分类树和提升等主题，是同类书籍中介绍得最全面的。 《统计学习基础(第2版)(英文)》可作为高等院校相关专业本科生和研究生的教材，对于统计学相关人员、科学界和业界关注数据挖掘的人，《统计学习基础(第2版)(英文)》值得一读。

The elements of statistical learning by Travor Hastie

The elements of statistical learning The elements of statistical learning The elements of statistical learning