Regularization, Machine Learning, Convex Optimization, Lagrangian, Ml So Good.
them to get expected y, using a linear system of equations. w1 and w2 could be anything literally, in the range of (-infinity, infinity), which will satisfy the equation. 4 = 4*1 + 0*1 4 = 100*1 + (-96*1) 4 = (-500*1) + 504*1 We also want to give more focus to the parameters/features with more