Description
Covers generation of high dimensional outputs, such as images, text, and graphs
Discusses methods for discovering insights about data, based on latent variable models
Considers training and testing under different distributions
Explores how to use probabilistic models and inference for causal inference and decision making
Features online Python code accompaniment
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