A great strategy that I've learned a lot from is to use a database like citeseer or ISI to find the author's of the most cited papers for a topic and then find

A great strategy that I've learned a lot from is to use a database like citeseer or ISI to find the author's of the most cited papers for a topic and then find their lectures on videolectures.net Other's already mentioned Jordan, Bishop and Friedman - these are all great I really liked Thrun, Burgard, and Fox's text Probabilistic Robotics - they use a lot of ML like algorithms under very tough constraints (limited CPU and real-time performance) Shapire (inventor of AdaBoost) has a good course http://www.cs.princeton.edu/~schapire/ http://www.cs.princeton.edu/~schapire/ Hinton et. al. have a good advanced course: http://www.cs.toronto.edu/~hinton/csc2535/ http://www.cs.toronto.edu/~hinton/csc2535/ Moore from CMU has some good slides too: http://www.cs.cmu.edu/~awm/10701/ http://www.cs.cmu.edu/~awm/10701/