Applied Machine Learning
University of Pennsylvania · PA · CIS5190
Applied Machine Learning is a subject at University of Pennsylvania, PA. It covers topics like data-mining, machine-learning, predictive-analytics, statistical-learning. It is part of 21 degrees. The information below is compiled from public course material — approximate, not official.
University of Pennsylvania
CIS5190
3.00
Topics covered
Degrees that include Applied Machine Learning
- Advanced Scientific Computing, Certificate
- Artificial Intelligence, BSE
- Bioengineering, MSE
- Business Analytics, MBA
- Computer & Information Science, MSE
- Computer & Information Technology, MCIT
- Computer and Information Science, PhD
- Computer Graphics & Game Technology, MSE
- Computer Science, BSE
- Computer Science, MASCS
- Data Science and Artificial Intelligence, MSE
- Data Science, MSE
- Electrical Engineering, MSE
- Integrated Product Design, Certificate
- Integrated Product Design, MIPD
- Integrated Product Design, MSE
- Mathematical Economics, BA
- Quantitative Finance, MSQF
- Robotics, MSE
- Scientific Computing, MSE
- Systems Engineering, MSE
Frequently asked questions
What is Applied Machine Learning about?
Applied Machine Learning covers topics like data-mining, machine-learning, predictive-analytics, statistical-learning.
Which degrees include Applied Machine Learning?
Applied Machine Learning is part of 21 degrees, including Advanced Scientific Computing, Certificate, Artificial Intelligence, BSE, Bioengineering, MSE, Business Analytics, MBA, Computer & Information Science, MSE.
How many credit points is Applied Machine Learning?
Applied Machine Learning at University of Pennsylvania is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Applied Machine Learning taught?
Applied 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 — not copied verbatim — and is approximate; always confirm with the original source.
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