An Introduction to Support Vector Machines - DZone AI

If you have used machine learning to perform classification, you might have heard about support vector machines (SVM). Introduced a little more than 50 years ago, they have evolved over time and have also been adapted to various other problems like regression, outlier analysis, and ranking. SVMs are a favorite tool in the arsenal of many machine learning practitioners. In this post, we will try to gain a high-level understanding of how SVMs work. I'll focus on developing intuition rather than rigor. What that essentially means is we will skip as much of the math as possible and develop a strong intuition of the working principle. Say there is a machine learning (ML) course offered at your university.