Machine Learning, Support Vector Machine, Optimization, Data Science, Technology.
possible. It is written as a constrained optimization problem: In this optimization, you are trying to find parameters that maximize the margin, denoted γ, (i.e., minimize the reciprocal of the margin) subject to the constraint that all training examples are correctly classified. The “odd” thing