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Description

The course introduces fundamentals of machine learning, including concept learning, evaluating hypotheses, supervised learning, unsupervised learning and reinforcement learning, Bayesian learning, ensemble methods.
Course period1/09/2431/12/24
Course levelPG
Course formatLecture