Support Vector Machine, Machine Learning, Classification, Deep Learning, Hands On Tutorials.
b (red borders) where ai are coefficient for each training vector i and b implies bias (how much the decision boundary should be shifted). ai: coefficient for each training vector i. • Non-zero: A Support Vector that defines the decision boundary • Zero: Too far from the decision boundary, ignored