Principles of Large-Scale Machine Learning Systems
Cornell University · NY · CS4787-
Principles of Large-Scale Machine Learning Systems is a subject at Cornell University, NY. It covers topics like big-data, deep-learning, machine-learning, statistical-learning. It is part of 5 degrees. The information below is compiled from public course material — approximate, not official.
Cornell University
CS4787-
3.00
Topics covered
Degrees that include Principles of Large-Scale Machine Learning Systems
- Artificial Intelligence (Minor)
- Data Science (Minor)
- Mathematics (BA)
- Statistical Science (BA)
- Statistics & Biometry (BS)
Frequently asked questions
What is Principles of Large-Scale Machine Learning Systems about?
Principles of Large-Scale Machine Learning Systems covers topics like big-data, deep-learning, machine-learning, statistical-learning.
Which degrees include Principles of Large-Scale Machine Learning Systems?
Principles of Large-Scale Machine Learning Systems is part of 5 degrees, including Artificial Intelligence (Minor), Data Science (Minor), Mathematics (BA), Statistical Science (BA), Statistics & Biometry (BS).
How many credit points is Principles of Large-Scale Machine Learning Systems?
Principles of Large-Scale Machine Learning Systems at Cornell University is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Principles of Large-Scale Machine Learning Systems taught?
Principles of Large-Scale Machine Learning Systems is taught at Cornell University, NY.
Studying Principles of Large-Scale Machine Learning Systems?
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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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