all right welcome everyone welcome to lecture 13 of CS 287 last week on Thursday there was no live lecture but we actually did cover the material so ignosi did they recording at home and posted a video on Piazza so you can watch lecture 12 on video it will mean no live version of that lecture but this way we can keep up with the course and not lose a lecture slot today lecture 13 we'll look at Kalman smoothers maximum a-posteriori estimation maximum likelihood and expectation maximization all right so this is our menu for today