Smart Systems & Machine Learning

Course contents
  • - Foundations of artificial intelligence (AI) and philosophical considerations
    - Smart agent systems
    - Problem definitions and search strategies
    - Ontologies and knowledge representation
    - Supervised, unsupervised and semi-supervised learning
    - Reinforcement learning
    - Multi-agent systems
    - Natural Language Processing
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