Machine Learning Applications for Health
The University of Melbourne · VIC · COMP90089
Machine Learning Applications for Health is a subject at The University of Melbourne, VIC in School of Computing & Information Systems. It covers topics like digital-health, health-informatics, machine-learning. It is part of 6 degrees. The information below is compiled from public course material — approximate, not official.
The University of Melbourne
COMP90089
12.50
School of Computing & Information Systems
Topics covered
Degrees that include Machine Learning Applications for Health
- Graduate Certificate in Digital Transformation of Health
- Master of Computer Science
- Master of Information Systems
- Master of Science (Bioinformatics)
- Master of Science (Epidemiology)
- Master of Software Engineering
Frequently asked questions
What is Machine Learning Applications for Health about?
Machine Learning Applications for Health covers topics like digital-health, health-informatics, machine-learning.
Which degrees include Machine Learning Applications for Health?
Machine Learning Applications for Health is part of 6 degrees, including Graduate Certificate in Digital Transformation of Health, Master of Computer Science, Master of Information Systems, Master of Science (Bioinformatics), Master of Science (Epidemiology).
How many credit points is Machine Learning Applications for Health?
Machine Learning Applications for Health at The University of Melbourne is typically around 12.50 credit points. Approximate — confirm with the university.
Where is Machine Learning Applications for Health taught?
Machine Learning Applications for Health is taught at The University of Melbourne, VIC.
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Sources: The University of Melbourne public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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