i cant seem to work my head around the mathematical part of svm
i understand the concept and the derivations but the the part that comes after lagrangian formulation is where im stuck..(googling didn't help at all)

a manual calculation of w and b would be great (taking a few random points and separating them using support vectors)

  • $\begingroup$ Many flavours of SVM are equivalent to classic convex optimization problems. Maybe refreshing the general knowledge of convex optimization will help. One reference: Boyd, S., & Vandenberghe, L. (2004). Convex Optimization. Cambridge University Press. $\endgroup$ – stans - Reinstate Monica Aug 23 '19 at 7:41
  • $\begingroup$ I did check out the book.. it's very informative but it's not what I was looking for $\endgroup$ – Vaibhav Aug 26 '19 at 3:01

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