Machine Learning, Deep Learning, Neural Networks, Data Science, Towards Data Science.
that will be effectively sampled will follow the right distribution. In the Metropolis-Hasting algorithm, the idea is to find a Markov Chain (MC) such that the stationary distribution of this MC corresponds to the distribution from which we would like to sample our random variable. Once this MC