Machine Learning for Medicine
University of California, Los Angeles · CA · BIOMATH267
Machine Learning for Medicine is a subject at University of California, Los Angeles, CA in Computational Medicine. It covers topics like data-mining, deep-learning, knowledge-discovery, machine-learning. It is part of 5 degrees. The information below is compiled from public course material — approximate, not official.
University of California, Los Angeles
BIOMATH267
3.00
Computational Medicine
Topics covered
Degrees that include Machine Learning for Medicine
- Biomathematics MS, PhD
- Data Science in Biomedicine MS
- Master of Data Science in Health
- Medical Informatics MS, PhD
- Physics and Biology In Medicine MS, PhD
Frequently asked questions
What is Machine Learning for Medicine about?
Machine Learning for Medicine covers topics like data-mining, deep-learning, knowledge-discovery, machine-learning.
Which degrees include Machine Learning for Medicine?
Machine Learning for Medicine is part of 5 degrees, including Biomathematics MS, PhD, Data Science in Biomedicine MS, Master of Data Science in Health, Medical Informatics MS, PhD, Physics and Biology In Medicine MS, PhD.
How many credit points is Machine Learning for Medicine?
Machine Learning for Medicine at University of California, Los Angeles is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Machine Learning for Medicine taught?
Machine Learning for Medicine is taught at University of California, Los Angeles, CA.
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Sources: University of California, Los Angeles public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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