— Applied Machine Learning for Non-Majors
University of California, Davis · CA · ECS111
— Applied Machine Learning for Non-Majors is a subject at University of California, Davis, CA. It covers topics like applied-mathematics, applied-statistics, machine-learning, statistical-learning. It is part of 5 degrees. The information below is compiled from public course material — approximate, not official.
University of California, Davis
ECS111
3.00
Topics covered
Degrees that include — Applied Machine Learning for Non-Majors
- Civil Engineering, Bachelor of Science
- Computer Engineering, Bachelor of Science
- Data Science, Bachelor of Science
- Electrical Engineering, Bachelor of Science
- Statistics, Bachelor of Science
Frequently asked questions
What is — Applied Machine Learning for Non-Majors about?
— Applied Machine Learning for Non-Majors covers topics like applied-mathematics, applied-statistics, machine-learning, statistical-learning.
Which degrees include — Applied Machine Learning for Non-Majors?
— Applied Machine Learning for Non-Majors is part of 5 degrees, including Civil Engineering, Bachelor of Science, Computer Engineering, Bachelor of Science, Data Science, Bachelor of Science, Electrical Engineering, Bachelor of Science, Statistics, Bachelor of Science.
How many credit points is — Applied Machine Learning for Non-Majors?
— Applied Machine Learning for Non-Majors at University of California, Davis is typically around 3.00 credit points. Approximate — confirm with the university.
Where is — Applied Machine Learning for Non-Majors taught?
— Applied Machine Learning for Non-Majors is taught at University of California, Davis, CA.
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Sources: University of California, Davis public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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