/explore
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vsupalov.com | ||
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healeycodes.com
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| | | | | Generating random but familiar text by building Markov chains from scratch. | |
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gist.github.com
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| | | | | Generate text from an input using a simple Markov chain generator - markov.py | |
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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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deejaygraham.github.io
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| | | a triumph of style over substance | ||
