Unsupervised Learning, Supervised Learning, Machine Learning, Artificial Intelligence.
ultimately change the position of the hyperplane. The goal of an SVM is to maximize the margin around the hyperplane that separates these data points. Note: In 2-dimensional space, data points can be separated by a line. SVM is especially effective when applied to spaces with higher dimensions