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 period1/09/2531/12/25
Course levelPG
Course formatLecture