Sketching High-Dimensional Data
Offered By: Simons Institute via YouTube
Course Description
Overview
Explore advanced techniques for sketching high-dimensional data in this comprehensive lecture by Jelani Nelson from UC Berkeley. Delve into the intersection of probability, geometry, and computation as applied to high-dimensional spaces. Learn about cutting-edge methods for data compression and dimensionality reduction, essential for managing and analyzing large-scale datasets. Gain insights into the theoretical foundations and practical applications of sketching algorithms, their impact on machine learning, and their role in solving complex computational problems in high-dimensional settings.
Syllabus
Sketching High-Dimensional Data
Taught by
Simons Institute
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