Machine Learning, Support Vector Machine, Optimization, Data Science, Technology.
you parameters w, b that optimize the hard-margin SVM. We wish to measure the size of the margin. The first observation is that the hyperplane will lie exactly halfway between the nearest positive point and nearest negative point. If not, the margin could be made bigger by simply sliding it one way