find it that way all right so so far we looked at estimation we are given a model for dynamics and a model for measurements and from that we estimate distribution over state or max most likely sequence over state second half lecture will actually start looking at how we can estimate the parameters in this distribution we assuming they're given to us we assume we're given dynamics model assume we're given the observation model and practice YouTube we now given them you have to come up with them by hand might be hard more