Markov Chains, Data Science.
system, its future and past states are independent. This is known as the Markov property, expressed as such, Xn represents the state of the system at time n P(Xn+1​∣ X1​,X2​,…, Xn ​)=P(Xn +1​∣ Xn ​) Probability Markov Chains {Xaktly} The Markov process also operates in a certain set of possible