Introduction to Machine Learning
Cornell University · NY · CS3780-
Introduction to Machine Learning is a subject at Cornell University, NY. It covers topics like data-mining, deep-learning, machine-learning, statistical-learning. It is part of 16 degrees. The information below is compiled from public course material — approximate, not official.
Cornell University
CS3780-
3.00
Topics covered
Degrees that include Introduction to Machine Learning
- Actuarial Science (Minor)
- Artificial Intelligence (Minor)
- Biomedical Engineering (BS)
- Cognitive Science (BA)
- Computer Science (BA)
- Computer Science (BS)
- Data Science (Minor)
- Game Design (Minor)
- Information Science (BA)
- Information Science (BS)
- Information Science (Minor)
- Information Science, Systems, and Technology (BS)
- Mathematics (BA)
- Robotics (Minor)
- Statistical Science (BA)
- Statistics & Biometry (BS)
Frequently asked questions
What is Introduction to Machine Learning about?
Introduction to Machine Learning covers topics like data-mining, deep-learning, machine-learning, statistical-learning.
Which degrees include Introduction to Machine Learning?
Introduction to Machine Learning is part of 16 degrees, including Actuarial Science (Minor), Artificial Intelligence (Minor), Biomedical Engineering (BS), Cognitive Science (BA), Computer Science (BA).
How many credit points is Introduction to Machine Learning?
Introduction to Machine Learning at Cornell University is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Introduction to Machine Learning taught?
Introduction to Machine Learning is taught at Cornell University, NY.
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Sources: Cornell University public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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