Artificial Intelligence II

NAIL070

The course focuses on three areas of modern artificial intelligence. It describes how to handle uncertainty using probability theory (Bayesian networks, etc.), how to model rationality and make rational decisions (Markov Decision Processes, etc.), and how to improve AI systems via machine learning (supervised learning of logical and probabilistic models, reinforcement learning).

The course is intended for master (graduate) level students.

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