Support Vector Machine: Kernel Trick; Mercer’s Theorem
Understanding SVM Series : Part 2
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6 min readDec 19, 2018
Prerequisite: 1. Knowledge of Support vector machine algorithm which I have discussed in the previous post. 2. Some basic knowledge of algebra.
In the 1st part of this series, from the mathematical formulation of support vectors, we have found two important concepts of SVM, which are
- SVM problem is a constrained minimization problem and we have learned to use Lagrange Multiplier method to deal with this.
