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www.datagenetics.com | ||
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jeremykun.com
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| | | | | Hard to believe Sanjeev Arora and his coauthors consider it"a basic tool [that should be] taught to all algorithms students together with divide-and-conquer, dynamic programming, and random sampling."Christos Papadimitriou calls it"so hard to believe that it has been discovered five times and forgotten." It has formed the basis of algorithms inmachine learning, optimization, game theory, | |
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aosmith.rbind.io
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| | | | | I walk through an example of simulating data from a binomial generalized linear mixed model with a logit link and then exploring estimates of over/underdispersion. | |
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www.jeremykun.com
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| | | | | Machine learning is broadly split into two camps, statistical learning and non-statistical learning. The latter we've started to get a good picture of on this blog; we approached Perceptrons, decision trees, and neural networks from a non-statistical perspective. And generally "statistical" learning is just that, a perspective. Data is phrased in terms of independent and dependent variables, and statistical techniques are leveraged against the data. In this post we'll focus on the simplest example of thi... | |
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blog.nelhage.com
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| | | I've posted the final slides from my talk this year at DEFCON and Black Hat, on breaking out of the KVM Kernel Virtual Machine on Linux. Virtunoid: Breaking out of KVM from Nelson Elhage [Edited 2011-08-11] The code is now available. It should be fairly well-commented, and include links to everything you'll need to get the exploit up and running in a local test environment, if you're so inclined. In addition, as I mentioned, this bug was found by a simple KVM fuzzer I wrote. | ||
