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- Virginia Tech Machine Learning Fall 2015.
- Introduction to (directed
- How does the Categorical distribution change if we use a one-hot encoding instead of the indicator function. Here are the notes: ...
- In this video, we explore Bayesian Networks — a core concept in Probabilistic
In-Depth Information on Introduction To Directed Graphical Models Implementation In Tensorflow Probability
In this video we How is the plate notation represented in probabilistic programming languages like TFP? Here are the notes: ... DEEP LEARNING MATHEMATICS: Computing This is the sixteenth lecture in the Probabilistic ML class of Prof. Dr. Philipp Hennig in the Summer Term 2020 at the University of ...
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