Eigenvectors, Eigenvalue, Data Science, Machine Learning, Principal Component.
of a Markov chain represents. A Markov chain is a simple stochastic model in which the probability of the next state only depends on the current state. A transition matrix is essentially the adjacency matrix but with probabilities as the weights of the edges (0 if no connection which is the same as