贝叶斯数据分析实战
Doing Bayesian Data Analysis
John K. Kruschke · 初版 2010 年
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为什么值得读
- 适合作为贝叶斯学习模型的入门材料
- 注重概念理解且代码示例保持简单易懂
- 数学阐述详尽并能结合经典频率学派对比
Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, Second Edition 提供了进行 Bayesian data analysis 的通俗易懂的方法，结合具体示例对内容进行了清晰阐释。书中包含如何在流行且免费的软件 R 和 WinBugs 以及 JAGS 和 Stan 的新程序中执行 Bayesian data analyses 的分步指导。新程序的设计比第一版中的脚本更容易使用。尤其是现在提供了紧凑的高级脚本，便于在你自己的数据集上运行这些程序。本书
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原标题：程序员，用这 6 本书自学 ML 和 AI 基础。书单：- Ian Hacking -《Introduction to probability and Inductive Logic》- John Kruschke -《Doing Bayesian Data Analysis》- Gareth Williams -《Linear Algebra with Applications, Alternate Edition》- Matthew Scarpino -《OpenCL in Action》- Michael Nielsen -《Neural Networks and Deep Learning》- Goodfellow, Bengio, and Courville……
Original title: Programmer, Teach Yourself Foundations of ML and AI with these 6 Books Books: - Ian Hacking - Introduction to probability and Inductive Logic - John Kruschke - Doing Bayesian Data Analysis - Gareth Williams - Linear Algebra with Applications, Alternate Edition - Matthew Scarpino - OpenCL in Action - Michael Nielsen - Neural Networks and Deep Learning - Goodfellow, Bengio, and Courville…
……比其他 ML 研究人员掌握的还要多。我这里的推荐可能参考价值没那么大……我只是玩过贝叶斯学习模型，但从未在专业工作中实际用过。不过我会推荐 Kruschke 写的《Doing Bayesian Data Analysis》。作为入门材料它非常有帮助。
…more than other ML researchers have. My recommendations here are probably less helpful...I've only ever toyed with Bayesian learning models, but never employed them professionally. But I would recommend Doing Bayesian Data Analysis by Kruschke. It was very helpful as an introductory material.
……让这些东西能被更广泛的公众所使用。也许还达不到“随意建个什么模型都能开箱即用”的地步，但绝对足以取代大部分频率学派统计方法。比如可以看看 Kruschke 写的《Doing Bayesian Data Analysis》。
…from having this stuff be usable by the broader public. Maybe not "build any model you like and it will just work out of the box" but definitely as a replacement for much frequentist statistics. See "Doing Bayesian Data Analysis" by Kruschke, for example.
……懂 R 语言。概念比编程语言更重要，而且代码示例也保持得很简单。如果你啃完了《Statistical Rethinking》，可以考虑翻翻 John Kruschke 写的《Doing Bayesian Data Analysis》（也就是俗称的“狗狗书”）。我觉得 DBDA 比 SR 读起来更吃力一些，但 Kruschke 的切入角度和 McElreath 不同，当你卡在某个概念上、需要更多……时会很有用。
…know the R language. The concepts are more important than the programming language and the code examples are kept simple. If you make it through Statistical Rethinking then you might consider picking up Doing Bayesian Data Analysis by John Kruschke (a.k.a. the puppies book). I've found DBDA to be heavier going than SR but Kruschke takes a different approach to McElreath which can be useful if you get stuck on a concept, need more…
……Analysis: A Bayesian Tutorial》非常棒 http://www.amazon.com/Data-Analysis-A-Bayesian-Tutorial/dp/0...。如果你想要更详尽的阐述（但数学上依然足够严谨深入），《Doing Bayesian Data Analysis: A Tutorial with R and BUGS》也极赞 http://www.amazon.com/Doing-Bayesian-Data-Analysis-Tutorial/...。后者还会为你提供更多细节，教你如何处理经典的频率学派检验以及……
…Analysis: A Bayesian Tutorial" is awesome http://www.amazon.com/Data-Analysis-A-Bayesian-Tutorial/dp/0... And if you would like a little more exposition (but still a mathematically sophisticated treatment) "Doing Bayesian Data Analysis: A Tutorial with R and BUGS" is fantastic http://www.amazon.com/Doing-Bayesian-Data-Analysis-Tutorial/... The latter will also give you more details of how to approach classical, frequentest tests and…
《Doing Bayesian Data Analysis》，感兴趣的主题：MCMC、Gibbs Sampling；《F# for C# Developers》，这本书为了通俗化好像略过了很多内容，但仍不失为一本不错的入门书；《TCP/IP Illustrated, Volume 1: The Protocols》，……
Doing Bayesian Data Analysis Interesting topics: MCMC, Gibbs Sampling F# for C# Developers This book seems to leave lot out in order to simplify but good starting book nonetheless TCP/IP Illustrated, Volume 1: The Protocols,…