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Probabilistic Machine Learning DAalto University<p>The course covers concepts in probabilistic machine learning: independence, conditional independence, mixture models, EM algorithm, Bayesian networks, latent linear models, and algorithms for exact and approximate inference, with an emphasis on variational inference. The course emphasizes understanding fundamental principles that allow students to understand and apply probabilistic modeling in practice.</p> |
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