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reviewanon committed Feb 9, 2023
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Expand Up @@ -15,7 +15,7 @@ This course starts by introducing probabilistic graphical models from the very b

2. [Review of probability theory](preliminaries/probabilityreview): Probability distributions. Conditional probability. Random variables (*under construction*).

3. [Examples of real-world applications](preliminaries/applications): Image denoising. RNA structure prediction. Syntactic analysis of sentences. Optical character recognition (*under construction*).
3. [Examples of real-world applications](preliminaries/applications): Image denoising. RNA structure prediction. Syntactic analysis of sentences. Optical character recognition. Language Modeling (*under construction*).

## Representation

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