Hi,
There are a couple more steps to go from the formulation you posted, to the "dual Lagrangian" formulation, on slide 48. This formulation is:
And the SVM algorithm aims to minimize this in terms of lambdas subject to some constraints. These lambdas are called the dual coefficients, they're the parameters of the SVM model.
During the exam, we would not ask you to do such an optimization, but it's good to know what the lambdas stand for!
Best,
Sena
