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emiruz.com | ||
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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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svmiller.com
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| | | | | This is a basic tutorial for estimating the Poisson model, what it does, and how you should interpret what it tells you. | |
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r-video-tutorial.blogspot.com
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| | | | | Power analysis is extremely important in statistics since it allows us to calculate how many chances we have of obtaining realistic result... | |
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nhigham.com
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| | | A $latex p$th root of an $latex n\times n$ matrix $LATEX A$ is a matrix $LATEX X$ such that $latex X^p = A$, and it can be written $latex X = A^{1/p}$. For a rational number $latex r = j/k$ (where $latex j$ and $latex k$ are integers), defining $latex A^r$ is more difficult: is... | ||
