Practical Tools for Operations Research, Machine Learning and Data Science
Cornell University · NY · ORIE3120-
Practical Tools for Operations Research, Machine Learning and Data Science is a subject at Cornell University, NY. It covers topics like business-analytics, data-analytics, data-science, machine-learning. It is part of 10 degrees. The information below is compiled from public course material — approximate, not official.
Cornell University
ORIE3120-
3.00
Topics covered
Degrees that include Practical Tools for Operations Research, Machine Learning and Data Science
- Data Science in Astronomy (Minor)
- Data Science (Minor)
- Digital Agriculture (Minor)
- Information Science (BA)
- Information Science (BS)
- Information Science (Minor)
- Information Science, Systems, and Technology (BS)
- Operations Research and Engineering (BS)
- Statistical Science (BA)
- Statistics & Biometry (BS)
Frequently asked questions
What is Practical Tools for Operations Research, Machine Learning and Data Science about?
Practical Tools for Operations Research, Machine Learning and Data Science covers topics like business-analytics, data-analytics, data-science, machine-learning.
Which degrees include Practical Tools for Operations Research, Machine Learning and Data Science?
Practical Tools for Operations Research, Machine Learning and Data Science is part of 10 degrees, including Data Science in Astronomy (Minor), Data Science (Minor), Digital Agriculture (Minor), Information Science (BA), Information Science (BS).
How many credit points is Practical Tools for Operations Research, Machine Learning and Data Science?
Practical Tools for Operations Research, Machine Learning and Data Science at Cornell University is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Practical Tools for Operations Research, Machine Learning and Data Science taught?
Practical Tools for Operations Research, Machine Learning and Data Science is taught at Cornell University, NY.
Studying Practical Tools for Operations Research, Machine Learning and Data Science?
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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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