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ECSE-4810 - Introduction to Probabilistic Graphical Models
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<meta property="og:description" content="This course covers topics related to learning and inference with different types of Probabilistic Graphical Models (PGMs). It also demonstrates the application of PGMs to different fields. The course covers both directed and undirected graphical models, both parameter and structure learning, and both exact and approximated inference methods.">
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Introduction to Probabilistic Graphical Models
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ECSE-4810
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This course covers topics related to learning and inference with different types of Probabilistic Graphical Models (PGMs). It also demonstrates the application of PGMs to different fields. The course covers both directed and undirected graphical models, both parameter and structure learning, and both exact and approximated inference methods.
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3 credits
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one of:
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<a class="course-pill" href="ECSE-2500.html">ECSE-2500 Engineering Probability</a>
<a class="course-pill" href="ENGR-2600.html">ENGR-2600 Modeling and Analysis of Uncertainty</a>
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<th class="year">2023</th>
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Introduction To Probabilistic Graphical Models (3c)
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<li>Qiang Ji</li>
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Introduction To Probabilistic Graphical Models (3c)
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<ul class="prof-list">
<li>Qiang Ji</li>
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<span class="course-capacity">
Seats Taken: 3/50
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