Data Science, Machine Learning, Algorithms, Support Vector Machine, Supervised Learning.
goal of this margin is to separate the vectors from the decision boundary, as much as possible. The intuition behind it is that a margin gives us more confidence in our predictions. Because the vectors are at least the length of the margin away from the decision boundary, there’s less ambiguity