Linear Models, Data, Artificial Intelligence, Machine Learning.
decade or two ago but they the intuition behind how they work is still useful to learn. They try to fit a line that separates the classes, we often call this a decision boundary or margin. There is often many different boundaries we can fit but SVM will try to fit the line that splits the classes