“We can infer another key advantage of Markov Models from this example. To express the probabilities of all possible states for any length of Markov Chain, we only need s^2 numbers stored, with ‘s’ representing the number of possible states.”— Chris Natale, chrisnatale.infoTagged: NLP, NER, OMM
“Markov Chain, an OMM is a way of estimating the probability of a future series of events using only the previous event for each item in the series as inference. If a data structure exhibits this behavior, we can say it possesses the Markov Property.”— Chris Natale, chrisnatale.infoTagged: NLP, NER, OMM