Machine Learning: Advanced Probabilistic Methods P

Aalto University The course covers probabilistic concepts in machine learning: independece, conditional independence, mixture models, EM algorithm, Bayesian networks, computational algorithms for exact and approximate inference, sampling, prior distributions. The course emphasizes understanding fundamental principles and their use in practical machine learning problems. Back


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