The course will provide an overview of the theory and management applications of state-of-the-art Machine Learning (ML) and Artificial Intelligence (AI) techniques. ML&AI techniques covered include, but are not limited to, modern versions of unsupervised and supervised learning problems, recent methodological advances such as neural networks and reinforcement learning, as well as ML&AI applications of computational game theory.
The course will provide an overview of the theory and management applications of state-of-the-art Machine Learning (ML) and Artificial Intelligence (AI) techniques. ML&AI techniques covered include, but are not limited to, modern versions of unsupervised and supervised learning problems, recent methodological advances such as neural networks and reinforcement learning, as well as ML&AI applications of computational game theory.
