Tag: support-vector-machines

Table of Contents Definition In machine learning, support vector machines (SVMs, also support vector networks) are supervised max-margin models with associated learning algorithms that analyze data for classification and regression analysis. A support vector is a data point or node lying closest to the decision boundary or hyperplane. These points play a vital role in defining the decision boundary and the margin of…