Deep Learning, Natural Language Process, Machine Learning, Markov Chains, Nlp Tutorial.
model, not the entire history of events. For example, imagine you wanted to build a Markov chain model to predict weather conditions. We have two states in this model, sunny or rainy. There is a higher probability (70%) that it'll be sunny tomorrow if we've been in the sunny state today. The same