Group Theory in Machine Learning
author: Marconi Barbosa,
NICTA, Australia's ICT Research Centre of Excellence
published: April 1, 2009, recorded: January 2009, views: 11534
published: April 1, 2009, recorded: January 2009, views: 11534
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Part 1 54:08
Part 2 54:41
Part 3 1:00:29
Description
This course covers diverse aspects of the role played by symmetry in pattern analysis and machine learning. It is designed to provide background knowledge using examples and to touch current research topics without over emphasizing formalizations and technical descriptions.
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Reviews and comments:
I enjoyed the course, but I got frustrated in the end: there is not a word about groupoids. Groupoids play an important role in machine learning. They share many properties of groups, but, in addition, are general enough to deal with partial order and causality.
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