Support Vector Machine (SVM) is a mathematically rigorous, machine learning technique to build a linear binary classifier. It creates a hyperplane in a high-dimensional space that can accurately slice a dataset into two segments according to the desired objective. The algorithms for developing the classifier can be mathematically challenging though. SVM’s are popular since they are the state-of-the-art for many practical problems, such as identifying spam emails and other text mining applications.
