 "Nonparametric" here does not mean a parameter-less model, rather a model in which representations grow as more data are observed.Bayesian nonparametric models have gained considerable popularity in the field of machine learning because of the above-mentioned flexibility, especially in unsupervised learning.In a Bayesian nonparametric model, the prior and posterior distributions are not parametric distributions, but stochastic processes.