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This online course explores the theory of automata and languages. It includes finite automata and the languages they can define, deterministic and nondeterministic automata,...
This online course discusses the key problems of parameter estimation in both directed and undirected models, as well as the structure learning task for directed models.
This series of MOOCs explores the fundamentals of probabilistic graphical models.
This online course presents both exact and approximate algorithms for different types of inference tasks, and discusses where each could best be applied.
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