Focus in Artificial Intelligence (Specialist)
University of Toronto · Ontario · ASFOC1689B
Focus in Artificial Intelligence (Specialist) at University of Toronto lists 30 subjects. Subjects include Applications of Linear Programming, Introduction to Cognitive Science and Algorithmic Game Theory and Mechanism Design. The topics that come up most are statistical computing, applied statistics and machine learning (7, 7 and 6 subjects).
Compiled from public course information: approximate, not official.
University of Toronto
Undergraduate
What you'll study in Focus in Artificial Intelligence (Specialist)
Example subjects: Applications of Linear Programming, Introduction to Cognitive Science, Algorithmic Game Theory and Mechanism Design, Introduction to Machine Learning, Introduction to Visual Computing, Principles of Programming Languages, Numerical Methods, Introduction to Artificial Intelligence, Natural Language Computing, Probabilistic Learning and Reasoning, Neural Networks and Deep Learning, Introduction to Image Understanding.
Frequently asked questions
What will I study in Focus in Artificial Intelligence (Specialist)?
Focus in Artificial Intelligence (Specialist) covers areas like statistical-computing, applied-statistics, machine-learning, statistical-learning, linear-algebra, computational-mathematics, calculus, probability.
Who offers Focus in Artificial Intelligence (Specialist)?
Focus in Artificial Intelligence (Specialist) is offered by University of Toronto, Ontario.
Considering Focus in Artificial Intelligence (Specialist)?
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Sources: University of Toronto official course page. Information is compiled and summarised, not copied verbatim, and is approximate; always confirm with the original source.
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