……也发现去了解一下概率编程同样很有帮助。这几份资源都相当不错：* 《概率编程语言的设计与实现》（http://dippl.org）* 《实战概率编程》（https://smile.amazon.com/Practical-Probabilistic-Programming...）。目前最流行的 ML 框架是 scikit-learn、Tensorflow、Theano 和 Keras。
…have also found that looking into probabilistic programming is helpful too. These resources are pretty good: * The Design and Implementation of Probabilistic Programming Languages (http://dippl.org) * Practical Probabilistic Programming (https://smile.amazon.com/Practical-Probabilistic-Programming...) The currently most popular ML frameworks are scikit-learn, Tensorflow, Theano and Keras.
You should really look into the emerging field of probabilistic programming. Avi Pfeffer has a nice book out on it, Practical Probabilistic Programming (or at least, you can get PDFs by pre-ordering). It basically expands the PGM way of reasoning to Turing-complete domains, and "hides" the problem of coding custom inference algorithms by making them…
关于概率编程，有一本很适合新手的书，是 Avi Pfeffer 写的《实战概率编程》（Manning 出版）。这本书唯一的缺点是它用了 Pfeffer 自己开发的 Scala 库 Figaro，而这库似乎没有像 Stan 和 Edward 这些项目受到那么多关注。
A nice beginner friendly book about Probabilistic Programming is the book by Avi Pfeffer: "Practical Probabilistic Programming" (published by Manning). The only downside of the book is that it used Pfeffer's own Scala library called Figaro, which does not seem to get as much attention as projects such as Stan and Edward.
Avi Pfeffer 写的《实战概率编程》（Manning 出版）是一本学习相关概念的好书。它用的是他自己开发的基于 Scala 的框架 Figaro。
Avi Pfeffer's "Practical Probabilistic Programming" (Manning) is a nice book to learn about the concepts. It uses his own Scala based framework Figaro.
Hakaru [0] is another cool probabilistic programming language. If you like functional programming, probabilistic functional programming might also be interesting for you. I'd recommend reading Practical Probabilistic Programming with Monads [1], and checking out monad-bayes [2] which builds on the ideas discussed in the paper. [0]: https://github.com/hakaru-dev/hakaru [1]: http://mlg.eng.cam.ac.uk/pub/pdf/SciGhaGor15.pdf [2]:…
…the same people as 'church' If you're more familiar with Haskell, then checkout hakaru. If you are more familiar with Scala, or Java, checkout figaro. * has associated textbook https://www.amazon.com/Practical-Probabilistic-Programming-A... If you're more familure with Clojure, then checkout 'Anglican'
……也发现去了解一下概率编程同样很有帮助。这几份资源都相当不错：* 《概率编程语言的设计与实现》（http://dippl.org）* 《实战概率编程》（https://smile.amazon.com/Practical-Probabilistic-Programming...）。目前最流行的 ML 框架是 scikit-learn、Tensorflow、Theano 和 Keras。
…have also found that looking into probabilistic programming is helpful too. These resources are pretty good: * The Design and Implementation of Probabilistic Programming Languages (http://dippl.org) * Practical Probabilistic Programming (https://smile.amazon.com/Practical-Probabilistic-Programming...) The currently most popular ML frameworks are scikit-learn, Tensorflow, Theano and Keras.
你真该好好看看概率编程这个新兴领域。Avi Pfeffer 写了本很棒的书《实战概率编程》（至少现在预订就能拿到 PDF）。它基本上是把 PGM（概率图模型）的推理方式拓展到了图灵完备的领域，并且通过……把手写自定义推理算法的麻烦给“隐藏”掉了。
You should really look into the emerging field of probabilistic programming. Avi Pfeffer has a nice book out on it, Practical Probabilistic Programming (or at least, you can get PDFs by pre-ordering). It basically expands the PGM way of reasoning to Turing-complete domains, and "hides" the problem of coding custom inference algorithms by making them…
关于概率编程，有一本很适合新手的书，是 Avi Pfeffer 写的《实战概率编程》（Manning 出版）。这本书唯一的缺点是它用了 Pfeffer 自己开发的 Scala 库 Figaro，而这库似乎没有像 Stan 和 Edward 这些项目受到那么多关注。
A nice beginner friendly book about Probabilistic Programming is the book by Avi Pfeffer: "Practical Probabilistic Programming" (published by Manning). The only downside of the book is that it used Pfeffer's own Scala library called Figaro, which does not seem to get as much attention as projects such as Stan and Edward.
Avi Pfeffer 写的《实战概率编程》（Manning 出版）是一本学习相关概念的好书。它用的是他自己开发的基于 Scala 的框架 Figaro。
Avi Pfeffer's "Practical Probabilistic Programming" (Manning) is a nice book to learn about the concepts. It uses his own Scala based framework Figaro.
Hakaru [0] 是另一种很酷的概率编程语言。如果你喜欢函数式编程，概率函数式编程可能也会对你的胃口。我推荐读一读《Monad 实战概率编程》[1]，并看看基于论文中想法构建的 monad-bayes [2]。[0]: https://github.com/hakaru-dev/hakaru [1]: http://mlg.eng.cam.ac.uk/pub/pdf/SciGhaGor15.pdf [2]:……
Hakaru [0] is another cool probabilistic programming language. If you like functional programming, probabilistic functional programming might also be interesting for you. I'd recommend reading Practical Probabilistic Programming with Monads [1], and checking out monad-bayes [2] which builds on the ideas discussed in the paper. [0]: https://github.com/hakaru-dev/hakaru [1]: http://mlg.eng.cam.ac.uk/pub/pdf/SciGhaGor15.pdf [2]:…
……跟‘church’是同一帮人搞的。如果你对 Haskell 更熟，那就去看看 hakaru。如果你对 Scala 或 Java 更熟，那就去看看 figaro。* 有配套教材 https://www.amazon.com/Practical-Probabilistic-Programming-A... 如果你对 Clojure 更熟，那就去看看‘Anglican’
…the same people as 'church' If you're more familiar with Haskell, then checkout hakaru. If you are more familiar with Scala, or Java, checkout figaro. * has associated textbook https://www.amazon.com/Practical-Probabilistic-Programming-A... If you're more familure with Clojure, then checkout 'Anglican'