Support Vector Machine, Machine Learning, Artificial Intelligence, Data Science, Ambarish 224.
regression, where the goal is to approximate a target function with a linear function of the input space. SVR uses the same concepts of margin and support vectors as SVM, but it is optimized for regression problems. SVM regression is less sensitive to outliers and it’s global optimal solution. It’s