Regularization, Machine Learning, Convex Optimization, Lagrangian, Ml So Good.
parameters, second if the parameters are having high degree of freedom to grow. That is their coefficients are unbounded. To be more clear; lets try to understand it again with some analogy and examples, If there are large number of parameters, each parameter could be mapped corresponding to each