Students will be required to implement machine learning algorithms and analyze their performance on example sets of data. Example algorithms include: feed-forward multilayer neural networks, decision ...

Probabilistic models, such as hidden Markov models or Bayesian networks ... to the existence of efficient and robust procedures for learning parameters from observations. Often, however, the ...