Machine Learning, Neural Networks, Statistics, Data Science, AI.
the case of L¹. This transforms the optimization problem from performing maximum likelihood estimation (MLE) to performing maximum a posteriori (MAP) estimation; i.e. moving from using frequentist inference to Bayesian inference. A thorough overview of this interpretation can be found in a great