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Moving Data Around

In this module, we define the Bayesian network representation and its semantics. We also analyze the relationship between the graph structure and the independence properties of a distribution represented over that graph. Finally, we give some practical tips on how to model a real-world situation as a Bayesian network.

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課程、專項課程和在線學位均由全世界一流大學和教育機構的頂尖授課教師教授。

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