统计学习导论（基于 R 应用）
An Introduction To Statistical Learning With Applications In R
Gareth James · 初版 2013 年
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为什么值得读
- 对缺乏正规统计学背景的初学者极其友好
- 相比同类进阶书更侧重实操与代码应用
- 覆盖全面且曾作为斯坦福相关课程教材
An Introduction to Statistical Learning对统计学习领域进行了通俗易懂的概述；在过去二十年中，从生物学到金融学、市场营销再到天体物理学等各个领域涌现出海量而复杂的数据集，而统计学习正是理清这些数据集不可或缺的工具。本书介绍了诸多最重要的建模与预测技术，并结合了相关应用实例。探讨的主题包括线性回归、分类、重采样方法、收缩法、树模型方法、支持向量机、聚类等。全书辅以彩色图表和现实世
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我非常喜欢 Daniela Witten、Gareth James、Robert Tibshirani 和 Trevor Hastie 合著的《An Introduction to Statistical Learning with Applications in R》。这是我见过的对于没有任何正规统计学训练的人来说，切入机器学习最简单易懂的书了。
I really like Introduction To Statistical Learning with Applications in R, by Daniela Witten, Gareth James, Robert Tibshirani, and Trevor Hastie. It's the easiest book I've found to get into machine learning without any formal statistics training.
有两本我还没看到有人提过的免费书，它们更多是从统计学视角出发的：* James、Witten、Hastie 和 Tibshirani 写的《An Introduction to Statistical Learning, with Applications in R》http://www-bcf.usc.edu/~gareth/ISL/ * Hastie、Tibshirani 和 Freedman 写的《Elements of Statistical Learning》（更进阶）http://statweb.stanford.edu/~tibs/ElemStatLearn/
Two free books that I haven't seen mentioned, that are from more of a stats perspective * James, Witten, Hastie, and Tibshirani's An Introduction to Statistical Learning, with Applications in R http://www-bcf.usc.edu/~gareth/ISL/ * Hastie, Tibshirani, and Freedman's Elements of statistical learning (more advanced) http://statweb.stanford.edu/~tibs/ElemStatLearn/
它的姐妹篇也非常棒（而且对初学者友好得多）：《An Introduction to Statistical Learning with Applications in R》。这是我这辈子从头到尾读完的极少数几本教科书之一。
Its companion book is also very nice (and way easier for a beginner): An Introduction to Statistical Learning with Applications in R. It is one of the only textbooks I have read from cover to cover in my life.
同样地，《An Introduction to Statistical Learning With Applications in R》就像是《Elements》的实战版（或者配读书籍）。我读得非常过瘾。
Similarly, An Introduction to Statistical Learning With Applications in R is like a practical version of (or companion to) Elements. I very much enjoyed it.
……我目前正在上斯坦福的数据挖掘课 STATS202。我们用的这本教材非常棒（今年刚出版），涵盖的内容比这个网站看起来要多得多。书名叫《An Introduction to Statistical Learning with Applications in R》。通过斯坦福图书馆可以在线免费获取，但我不知道别的地方能不能免费看。如果有人真感兴趣的话，讲座录像大概也能在网上某个地方搜到。
…I'm currently taking the Stanford data mining class, STATS202. The book we're using has been really great (published this year) and covers a great deal more than this site seems to. It's called "An Introduction to Statistical Learning with Applications in R." It's free online through the Stanford libraries, but I'm not sure about accessing it for free elsewhere. The lectures are also probably recorded online somewhere, if anyone is really interested.
《Elements of Statistical Learning》配合网课（http://www.r-bloggers.com/in-depth-introduction-to-machine-l...）是一门极好的入门材料。编辑：哎呀，我其实应该说《An Introduction to Statistical Learning with Applications in R》，而不是《Elements of Statistical Learning》。Elements 那本书讲得太深了，不太适合作为这门学科的入门读物。
The Elements of Statistical Learning together with the online course (http://www.r-bloggers.com/in-depth-introduction-to-machine-l...) makes for a great introduction. EDIT: Oops I should have said "An Introduction to Statistical Learning with Applications in R" rather than The Elements of Statistical Learning. The Elements book goes into way too much depth to be a good introduction to the subject.