Induction: Analogy, Learning, and Generalisation in Humans and Machines
University of Edinburgh · Scotland · PSYL10176
Induction: Analogy, Learning, and Generalisation in Humans and Machines is a subject at University of Edinburgh, Scotland. It covers topics like artificial-intelligence, deep-learning, learning-theory, machine-learning. It is part of 7 degrees. The information below is compiled from public course material — approximate, not official.
University of Edinburgh
PSYL10176
3.00
Topics covered
Degrees that include Induction: Analogy, Learning, and Generalisation in Humans and Machines
- Cognitive Science (Humanities) (MA Hons)
- Philosophy and Psychology (MA Hons)
- Psychology and Business MA (Hons)
- Psychology and Economics (MA Hons)
- Psychology and Linguistics (MA Hons)
- Psychology (BSc Hons) - 4 Years (Full-time)
- Sociology and Psychology (MA Hons)
Frequently asked questions
What is Induction: Analogy, Learning, and Generalisation in Humans and Machines about?
Induction: Analogy, Learning, and Generalisation in Humans and Machines covers topics like artificial-intelligence, deep-learning, learning-theory, machine-learning.
Which degrees include Induction: Analogy, Learning, and Generalisation in Humans and Machines?
Induction: Analogy, Learning, and Generalisation in Humans and Machines is part of 7 degrees, including Cognitive Science (Humanities) (MA Hons), Philosophy and Psychology (MA Hons), Psychology and Business MA (Hons), Psychology and Economics (MA Hons), Psychology and Linguistics (MA Hons).
How many credit points is Induction: Analogy, Learning, and Generalisation in Humans and Machines?
Induction: Analogy, Learning, and Generalisation in Humans and Machines at University of Edinburgh is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Induction: Analogy, Learning, and Generalisation in Humans and Machines taught?
Induction: Analogy, Learning, and Generalisation in Humans and Machines is taught at University of Edinburgh, Scotland.
Studying Induction: Analogy, Learning, and Generalisation in Humans and Machines?
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Sources: University of Edinburgh public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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