In this video we introduce directed graphical models (DGM) with the help of a simple example. DGMs use DAGs (directed a-cyclic graphs) to model the factorization of a joint pdf/pmf. Here are the notes: https://raw.githubusercontent.com/Ceyron/machine-learning-and-simulation/main/english/probabilistic_machine_learning/directed_graphical_models_intro.pdf
TensorFlow Probability has built-in support for those and allows for a Pythoniac way of describing them.
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Timestamps:
00:00 Opening
00:14 Introduction to DGMs
01:30 Example
05:28 Simpler Example
08:07 TensorFlow Probability
