Machine Learning
University of Pennsylvania ยท PA ยท CIS5200
Machine Learning is a subject at University of Pennsylvania, PA. It covers topics like data-mining, deep-learning, machine-learning, statistical-learning. It is part of 27 degrees. The information below is compiled from public course material โ approximate, not official.
University of Pennsylvania
CIS5200
3.00
Topics covered
Degrees that include Machine Learning
- Advanced Scientific Computing, Certificate
- Artificial Intelligence, BSE
- Bioengineering, BSE
- Bioengineering, MSE
- Biomedical Science, BA
- Biomedical Science, BAS
- Business Analytics, BS
- Business Analytics, MBA
- Computer & Information Science, MSE
- Computer and Information Science, PhD
- Computer Engineering, BSE
- Computer Graphics & Game Technology, MSE
- Computer Science, BSE
- Data Science and Artificial Intelligence, MSE
- Data Science, Minor
- Data Science, MSE
- Electrical Engineering, BSE
- Electrical Engineering, MSE
- Energy and Sustainability Engineering, MSE
- Genomics and Computational Biology, PhD
- Mathematical Economics, BA
- Mechanical Engineering & Applied Mechanics, MSE
- Operations, Information and Decisions, PhD
- Quantitative Finance, MSQF
- Robotics, MSE
- Scientific Computing, MSE
- Systems Engineering, MSE
Frequently asked questions
What is Machine Learning about?
Machine Learning covers topics like data-mining, deep-learning, machine-learning, statistical-learning.
Which degrees include Machine Learning?
Machine Learning is part of 27 degrees, including Advanced Scientific Computing, Certificate, Artificial Intelligence, BSE, Bioengineering, BSE, Bioengineering, MSE, Biomedical Science, BA.
How many credit points is Machine Learning?
Machine Learning at University of Pennsylvania is typically around 3.00 credit points. Approximate โ confirm with the university.
Where is Machine Learning taught?
Machine Learning is taught at University of Pennsylvania, PA.
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Sources: University of Pennsylvania public course catalogue. Information is compiled and summarised โ not copied verbatim โ and is approximate; always confirm with the original source.
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