Support Vector Machine Explained Simply | Machine Learning Basics

Support Vector Machine, or SVM, is a classification algorithm that tries to separate classes with the best possible boundary. In this video, we explain SVM in a simple way: what SVM is what a decision boundary means what maximum margin means what support vectors are why a wider margin can help what kernels do in simple terms when SVM is useful SVM is especially known for finding a boundary with the widest margin between classes. In the next video, we’ll continue with LDA. Like this video, follow for more, and subscribe so you don’t miss the rest of the Machine Learning series. #MachineLearning #SVM #SupportVectorMachine #Classification #DataScience #MLBasics #ArtificialIntelligence #TechWithAdyn