Machine Learning in One Health
Offered By: Toronto Machine Learning Series (TMLS) via YouTube
Course Description
Overview
Explore the intersection of machine learning and "One Health" in this insightful 40-minute conference talk by Graham Taylor, a Canada Research Chair and Associate Professor of Engineering at the University of Guelph. Discover how artificial intelligence is being applied to address interconnected issues of human, animal, and environmental health. Gain valuable insights from Taylor's extensive experience in AI research, including his roles at the Vector Institute, CIFAR, and Google Brain. Learn about the motivations behind his work and the potential impact of machine learning on improving global health outcomes across multiple domains.
Syllabus
Machine Learning in One Health
Taught by
Toronto Machine Learning Series (TMLS)
Related Courses
Global Health at the Human-Animal-Ecosystem InterfaceUniversity of Geneva via Coursera Global Biosecurity for One Health
Murdoch University via FutureLearn One Health: A Ten Thousand Year-Old View into the Future
University of Alaska Fairbanks via edX One Health Graduate Certificate
Murdoch University via FutureLearn Rabies & One Health: From basics to cross-sectoral action to stop human rabies deaths
OpenWHO