24 Nov '16, 2pm

Markov Chains. Explained Visually

Markov Chains. Explained Visually

A Markov Model is used to model a system that randomly evolves with time, where the future state depends only on the current state, and not on any of the previous states. To clarify what that means, take for example a simple game, such as snakes and ladders. Each position on the board reflects a state, and your next position is completely random (determined by the dice roll). Furthermore, your next position only depends on your current position on the board, and not where you were earlier. Such a process, that evolves randomly with time, is called a stochastic process , and one where the future state depends only on the current state is called a Markov Chain , named after the Russian mathematician Andrey Markov.

Full article: http://nushackers.org/2016/10/digest-text-generation-with...

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