Support Vector Machine, Machine Learning, Data Science, Deep Learning.
Some key differences between SVM and other machine learning algorithms include: Margin maximization: One of the key features of SVM is that it tries to maximize the margin, or distance, between the closest data points and the decision boundary. This can make SVM models more robust and less prone to