贝叶斯推理与机器学习

Hacker News 上怎么说

• maurits · 2014 年

  …Learning，作者是 Hastie 等人。斯坦福提供免费版本。http://www-stat.stanford.edu/~tibs/ElemStatLearn Mining of Massive Datasets，斯坦福免费提供。http://infolab.stanford.edu/~ullman/mmds.html Bayesian Reasoning and Machine Learning，作者是 Barber，网上有免费版。http://web4.cs.ucl.ac.uk/staff/D.Barber/pmwiki/pmwiki.php?n=... Learning from data，作者是 Abu-Mostafa。附带加州理工的视频课程：http://work.caltech.edu/telecourse.html…

  …Learning, by Hastie et all. It is free from Stanford. http://www-stat.stanford.edu/~tibs/ElemStatLearn Mining of Massive Datasets, free from Stanford. http://infolab.stanford.edu/~ullman/mmds.html Bayesian Reasoning and Machine Learning, by Barber, free available online. http://web4.cs.ucl.ac.uk/staff/D.Barber/pmwiki/pmwiki.php?n=... Learning from data, by Abu-Mostafa. It comes with Caltech video lectures: http://work.caltech.edu/telecourse.html…

• shogunmike · 2015 年

  …Analysis（Kruschke），又名“小狗书”：http://www.amazon.com/Doing-Bayesian-Data-Analysis-Second/dp... Bayesian Data Analysis（Gellman）：http://www.amazon.com/Bayesian-Analysis-Chapman-Statistical-... Bayesian Reasoning and Machine Learning（Barber）：http://www.amazon.com/Bayesian-Reasoning-Machine-Learning-Ba... Probabilistic Graphical Models（Koller 等人）：https://www.coursera.org/course/pgm http://www.amazon.com/Probabilistic-Graphical-Models-Princip...…

  …Analysis (Kruschke), aka "the puppy book": http://www.amazon.com/Doing-Bayesian-Data-Analysis-Second/dp... Bayesian Data Analysis (Gellman): http://www.amazon.com/Bayesian-Analysis-Chapman-Statistical-... Bayesian Reasoning and Machine Learning (Barber): http://www.amazon.com/Bayesian-Reasoning-Machine-Learning-Ba... Probabilistic Graphical Models (Koller et al): https://www.coursera.org/course/pgm http://www.amazon.com/Probabilistic-Graphical-Models-Princip...…

• currere · 2011 年

  …选手的 rating 就会上涨。系统会给选手分配跟他们水平相近的题目，这样大家都开心。我猜他们是用 Glicko 来跟踪 rating 的不确定性。David Barber 的《Bayesian Reasoning and Machine Learning》（他在网上公开了）第 22 章讲得很好（可能稍微有点简练），解释了从 Rasch model 到 Bradley-Terry-Luce model 再到 Elo 的演变过程。顺便提一句，chesstempo 生成……的方式…

  …rating of the player goes up. Players are given problems close to their ratings, which keeps everyone happy. I believe they use Glicko to track uncertainty in the rating. Chapter 22 of David Barber's "Bayesian Reasoning and Machine Learning" (he makes it available online) does a nice (perhaps brief) job of explaining the progression through the Rasch model, the Bradley-Terry-Luce model and Elo. As an aside, the way they chesstempo generate…

• kashifr · 2014 年

  以我自己的经历来说，如果要学 graphical models，一个不错的切入点可能是 Barber 的《Bayesian Reasoning and Machine Learning》。这本书是免费的（http://web4.cs.ucl.ac.uk/staff/D.Barber/pmwiki/pmwiki.php?n=...）。我还没完整读完，但听到的评价都很高。不过，它没有覆盖像 SVM、RVM 这些基础内容……

  Form my own journey I would say that a good place to start for graphical models might be "Bayesian Reasoning and Machine Learning" by Barber. It's free (http://web4.cs.ucl.ac.uk/staff/D.Barber/pmwiki/pmwiki.php?n=...). I haven't read through it, but I've heard good things. However, it doesn't cover some basic things like SVM, RVM,…

• Blahah · 2013 年

  我还想再补充两本经典，作者官网上都有免费 PDF：1. David Barber: Bayesian Reasoning and Machine Learning 2. David MacKay: Information Theory, Inference, and Learning Algorithms [1] http://www.cs.ucl.ac.uk/staff/d.barber/brml/ [2] http://www.inference.phy.cam.ac.uk/mackay/itila/ 两本都需要你有意愿……

  I would add to that two classics with free PDFs available from the authors' websites: 1. David Barber: Bayesian Reasoning and Machine Learning 2. David MacKay: Information Theory, Inference, and Learning Algorithms [1] http://www.cs.ucl.ac.uk/staff/d.barber/brml/ [2] http://www.inference.phy.cam.ac.uk/mackay/itila/ Both require a willingness…

• dennybritz · 2014 年

  David Barber 写的《Bayesian Reasoning and Machine Learning》（BRML）是一本极好的入门教材。而且它也是免费的：http://www0.cs.ucl.ac.uk/staff/d.barber/brml/

  Bayesian Reasoning and Machine Learning (BRML) by David Barber is an excellent introductory textbook. It's also free: http://www0.cs.ucl.ac.uk/staff/d.barber/brml/

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