• 2 Sections
  • 5 Lessons
  • 15 Hours
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  • Module 1 Reasoning Under Uncertainty
    This module introduces how Artificial Intelligence systems make decisions when information is incomplete or uncertain. Students will learn probabilistic reasoning, Bayesian Networks, and Decision Networks used in modern AI and Machine Learning systems.
    5
    • 1.1
      1. Learning Outcomes
      5 Minutes
    • 1.2
      2. Reasoning Under Uncertainty
      25 Minutes
    • 1.3
      3. Bayesian Network
      30 Minutes
    • 1.4
      4. Decision Network
      20 Minutes
    • 1.5
      5. Lesson Summary
      10 Minutes
  • Module 2 Planning
    0

    Machine Learning with Artificial Intelligence

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