Support Vector Machine, Machine Learning, Data Science, Deep Learning.
hyperplane in this space that maximally separates the classes. In summary, the goal of an SVM is to find the hyperplane that maximally separates the classes in the training data, by maximizing the margin between the hyperplane and the support vectors. Comparison to other machine learning algorithms