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You are here		setosa.io Markov Chains
\|	\|	sookocheff.com N-gram Modeling With Markov Chains \| Kevin Sookocheff	2.7 parsecs away Travel
\|	\|	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.	2.7 parsecs away Travel
\|	\|	parametricity.com 2001 Frames: Markov model movie - Constructive Criticism	3.3 parsecs away Travel
\|	\|	If I say the word "swimming" to you, you've got a fair bit of information about what word I'm going to say next.	3.3 parsecs away Travel
\|	\|	jdlm.info The Mathematics of 2048: Minimum Moves to Win with Markov Chains	2.9 parsecs away Travel
\|	\|	How many moves does it take to win a game of 2048? Find out using Markov chains!	2.9 parsecs away Travel
\|	\|	joshmosier.com Senior Design - Smart Haptic Wristband for Human-Robot Interaction \| Josh Mosier	37.0 parsecs away Travel
\|		A haptic wristband for human-robot interaction, providing directional feedback and squeeze notifications.	37.0 parsecs away Travel