Types, Use and Process of Machine Learning,
Mathematics behind Machine Learning.
least squares methods,
Gaussian distributions,
linear classification, linear regression,
maximum likelihood,
exponential family distributions,
Bayesian networks, Bayesian inference,
mixture models, the EM algorithm, graphical models,
hidden Markov models,
support vector machines and kernel methods.