Support Vector Machine, Machine Learning, Data Science, Deep Learning.
find this hyperplane, the SVM algorithm first starts by finding the points in the training data that are closest to the hyperplane, which are called support vectors. It then maximizes the distance between the support vectors and the hyperplane, which is called the margin. The hyperplane that