Third Meeting (13/03)

We covered most of the textbook's second chapter (Probabilistic Graphical Models or PGMs), introducing and motivating PGMs, discussing the patterns of conditional independence arising from the 4 topologies of a connected graph consisting of 3 variables, and generalized these insights to larger graphs using the framework of d-separation.