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francisbach.com
| | christopher-beckham.github.io
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| | Vicinal distributions as a statistical view on data augmentation
| | www.ethanepperly.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...
| | blog.computationalcomplexity.org
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| Just as I was complaining that we haven't seen many surprising breakthroughs in complexity recently, we get an earthquake of a result to st...