Stanford University: Samuel Ieong's "Probability Theory Review"
Read this section, which describes joint distributions. Joint distributions from probability theory are useful for studying semi-supervised learning. Two statistical techniques that are also helpful are maximum likelihood and expectation maximization, both of which are used to estimate the parameters of statistical models.