Regularization, Machine Learning, Convex Optimization, Lagrangian, Ml So Good.
distribution, and our main task was to approximate true distribution! This gives way to situation called overfitting. As the Bias (How close is your trained model to the best-possible model; on average) is very low which is defined by Where f’(x) is your trained model and f(x) is the