Support vectors in machine learning
Support Vector Machines (SVM) is a supervised machine learning algorithm used primarily for classification tasks, though it can also be used for regression. It’s known for its ability to handle high-dimensional data and its efficacy in cases where the number of dimensions exceeds the number of samples. Basic Idea: SVM works by finding the hyperplane…