Machine Learning Techniques in Health
University of Waterloo · ON · HLTH658M
Machine Learning Techniques in Health is a subject at University of Waterloo, ON in HLTH. It covers topics like data-mining, deep-learning, knowledge-discovery, machine-learning. It is part of 1 degree. The information below is compiled from public course material — approximate, not official.
University of Waterloo
HLTH658M
3.00
HLTH
Topics covered
Degrees that include Machine Learning Techniques in Health
Frequently asked questions
What is Machine Learning Techniques in Health about?
Machine Learning Techniques in Health covers topics like data-mining, deep-learning, knowledge-discovery, machine-learning.
Which degrees include Machine Learning Techniques in Health?
Machine Learning Techniques in Health is part of 1 degree, including Master of Health Informatics and Analytics (MHIA).
How many credit points is Machine Learning Techniques in Health?
Machine Learning Techniques in Health at University of Waterloo is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Machine Learning Techniques in Health taught?
Machine Learning Techniques in Health is taught at University of Waterloo, ON.
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Sources: University of Waterloo public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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