盛世 Machine Learning Summer School 2009@Cambridge

09年在剑桥的Summer School简直是要学习Topic Models的学者的圣殿啊,内容涉及Graphical Models的各个方面,主讲的是各种牛人,看看下面这个list吧,有木有?

PRML作者Bishop讲贝叶斯推断,MJ老爷子将贝叶斯学派和频数学派对ML的影响,Mackay是《Information Theory, Inference, and Learning Algorithms》的作者,Bernhard Schölkopf讲核方法,Hinton老爷子讲Deep Belief Network。最主要的是“Godfather”来讲Topic Models,Zoubin讲Graphical Models,Yee Whye Teh讲Nonparametric Bayesian Models,等等我就不列举了。这个真是一个盛世啊!

Christopher Bishop Introduction to Bayesian Inference
Zoubin Ghahramani Graphical Models
David MacKay Information Theory
Iain Murray Markov Chain Monte Carlo
Bernhard Schölkopf Kernel Methods
Michael Littman Reinforcement Learning
Carl Edward Rasmussen Gaussian Processes
John Shawe-Taylor Learning Theory
Lieven Vandenberghe Convex Optimization
Andrew Blake Computer Vision
David Blei Topic Models
Tom Minka Approximate Inference
Yee Whye Teh Nonparametric Bayesian Models
Josh Tenenbaum Machine Learning and Cognitive Science
Geoffrey Hinton Deep Belief Networks
Simon Godsill Particle Filters
Phil Dawid Causality
Thomas Hofmann Information Retrieval
Peter Orbanz Foundations of Nonparametric Bayesian Methods
Michael Jordan Bayesian or Frequentist, Which Are You?

上面的视频都已经放在了Videolecture上面了,地址:http://videolectures.net/mlss09uk_cambridge/

然后如果你那边的网络也像我这边的破网络时断时续的话,可以通过Replay media catcher把视频下载到本地来看

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