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Unsupervised ML - Clustering, Dimensionality Reduction, Applications by Rahul Siddharthan

Offered By: International Centre for Theoretical Sciences via YouTube

Tags

Unsupervised Learning Courses Machine Learning Courses Mathematical Modeling Courses Dimensionality Reduction Courses Clustering Courses Healthcare Data Analysis Courses

Course Description

Overview

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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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