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Support Vector Machine, Margin, Kernel, Regularization, Gamma

Support Vector Machine(SVM) The objective of the support vector machine algorithm is to find a hyperplane in an N-dimensional space that distinctly classifies the data points when given the dichotomous data . Support vectors are data points that are closer to the hyperplane and influence the position and orientation of the hyperplane. Using these support vectors, we maximize the margin of the cl..

Machine Learning 2021.03.30
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