Machine Learning, Aritificial Intelligence, Data Science, Programming, Deep Learning.
transitions can be represented as a transition matrix A with the next state computed as: We can start from an initial state, say we are in the apple store, i.e. [1, 0, 0, …]. If some conditions are met, uk will converge to a stationary distribution π and π(xᵢ) will be the probability to be at state