Machine learning is a discipline that deals with the automatic design of models from data and has been successfully used in the past few decades for data analysis, process automation, function optimization, model building and many others.
The main topics to be covered include probability theory, linear regression, logistic regression, neural networks, decision trees, clustering, Bayesian estimation, dimension reduction, Markov and hidden Markov models with implementation of these models in Matlab, Python or R.
Course Date(s)
