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SVM Optimal Separating Hyperplane Explained | Support Vectors & Maximum Margin | Machine Learning
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Last Updated: October 1, 2026
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The topic is covered from the book of linear programming by G. Hadley. Key ideas from convex geometry for SVM. This is an audio version of the Wikipedia Article: en.wikipedia.org/wiki/Supporting_hyperplane 00:00:48 In this video we discuss the separating Machine Learning From Data, Rensselaer Fall 2020. Professor Malik Magdon-Ismail talks about the What is the dot product good for? As we'll see, it cleans up our definitions of
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