Question: Question 3 . ( 1 0 points ) Hard Margin SVM Support vector machines learn a decision boundary leading to the largest margin from both
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Hard Margin SVM
Support vector machines learn a decision boundary leading to the largest margin from both classes. You are training SVM on a tiny dataset with points shown in Figure This dataset consists of two examples with class label denoted with plus and two examples with class label denoted with triangles
i Find the weight vector and bias What's the equation corresponding to the decision boundary? Points
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