Unsupervised ML - Clustering, Dimensionality Reduction, Applications by Rahul Siddharthan
Offered By: International Centre for Theoretical Sciences via YouTube
Course Description
Overview
Explore unsupervised machine learning techniques in this 43-minute lecture from the "Machine Learning for Health and Disease" program. Delve into clustering methods, dimensionality reduction, and their practical applications in healthcare and biomedical research. Learn how these powerful tools can uncover hidden patterns in complex datasets, aiding in patient outcome prediction, medical image analysis, and genomic variant interpretation. Gain insights from expert Rahul Siddharthan on bridging the gap between computational modeling and clinical problems, and discover how unsupervised ML can contribute to building comprehensive public health databases and resources.
Syllabus
Unsupervised ML: Clustering, Dimensionality Reduction, Applications by Rahul Siddharthan
Taught by
International Centre for Theoretical Sciences
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