Markov Model ทำงานยังไง? ใช้เพื่อทำนายอนาคตยังไง? | Machine Learning Learner

Since sequence is everywhere, MM (Markov Model) is very powerful in predicting future event in terms of state using Markov assumption such that the future state depends on previous state(s) where the order of MM determine how much previous state(s) the model take into account in order to predict future state. For instance, 1st order MM consider only 1 previous state to predict future state, nth order MM consider n previous states to predict the future and so on. MM do all this by estimating the transition probability which is the probability that the next state will occurred given previous state (depends on order of MM), this is also called the state transition probability. Simple example, weather prediction, have been demonstrate to help you understand how MM works

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