– AR, MA and ARMA models
– Parameter estimation for ARMA models
– Hidden Markov Models (definitions, inference, learning)
– Linear-Gaussian HMMs (Kalman filtering)
– More advanced topics (more elaborate state-space models, and recurrent neural networks)

#datascienceclasses

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