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Learned both learning and problem solving to develop statistical models for real-world AI applications

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Artificial Intelligence

General information

  • Course Title: Artificial Intelligence

  • Course Code: CS 541

  • Academic Level: Graduate

  • Instructor: Jonggi Hong

  • Department: Computer Science

  • University: Stevens Institute of Technology

  • Course Period: Spring Semester in 2023 (Jan 2023 - May 2023)

Course description

Artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and animals. Colloquially, the term "artificial intelligence" is used to describe machines that mimic cognitive functions that humans associate with other human minds, such as learning and problem solving. The course will emphasize on both learning and problem solving, and will develop rigorous statistical models for real-world AI applications. The course will also deliver modern optimization techniques to find an optimal model for a given problem. It will require a math background in calculus, linear algebra and probability, and programming skills in Python or Matlab.

Skills

  • Artificial Intelligence/Machine Learning: Search strategies, Logic, Bayesian Network, Knowledge representation, Machine Learning theory, Markov decision process, Decision theory, Decision trees, Reinforcement Learning