Today we will discuss Support Vector Machines (SVM).
SVM defines a line/surface/hyperplane that divides the data in the feature space.
SVM can model complex relationships in data.
SVM can be used for classification and numeric prediction.
SVM have been used successfully in pattern recognition.
SVMs are most easily understood when used for binary classification.