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Comment on Robotics 101 at UMich: Applied numerical linear algebra as intro linear algebra

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Chapter 13 of the textbook was added in January 2022. It covers separating hyperplanes, signed distance to a hyperplane, Max-margin Classifiers, a remark on Soft Margin Classifiers, and the Orthogonal Projection Operator. The additional material was added to support EECS 445, Machine Learning at Michigan.

This is (one of?) the authors of the course, for what it's worth. Welcome to HN! Pelt him with questions, everybody. :)

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