Bayesian estimation, particularly using Markov chain Monte Carlo (MCMC), is an increasingly relevant approach to statistical estimation. However, few statistical software packages implement MCMC samplers, and they are non-trivial to code by hand. PyMC is a python module that implements the Metropoli
Decision trees are a topic of artificial intelligence. More specifically, they belong to the subfield of machine learning. This is due to their ability to learn--through example--to classify individual records in a data set.