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parametricity.com | ||
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sookocheff.com
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| | | | | A common method of reducing the complexity of n-gram modeling is using the Markov Property. The Markov Property states that the probability of future states depends only on the present state, not on the sequence of events that preceded it. This concept can be elegantly implemented using a Markov Chain storing the probabilities of transitioning to a next state. | |
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blog.jordan.matelsky.com
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| | | | | The Short Story: I made a web-app that, given some starting text, naively tries to predict what words come next. Because the 'training' text was taken from F. Scott Fitzgerald's Tender is the Night (the first 10 chapters), we can (inaccurately) say that this robot talks like Fitzgerald. | |
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setosa.io
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| | | | | [AI summary] A visual and practical explanation of Markov Chains, covering concepts like state spaces and transition matrices, with examples in weather modeling and Google's search algorithm. | |
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felipec.wordpress.com
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| | | Chances are you are using a triangular workflow, even if you don't know it. A triangular workflow simply means that you pull from one repository, and push to another. This is what the vast majority of Git users do, unfortunately most of the good stuff is buried in the nearly incomprehensible official manpages. In this... | ||