Inverse problems involve the recovery of unknown parameters or signals from indirect and often noisy measurements. Such problems are typically ill-posed in the sense that small perturbations in the ...

The data science doctor continues his exploration of techniques used to reduce the likelihood of model overfitting, caused by training a neural network for too many iterations. Regularization is a ...