Machine Learning, Regression, Data Science, Algorithms.
powerful/state-of-the-art for many domains (e.g. computer vision, speech recognition) Can learn even very complex relationships Hidden layers reduce need for feature engineering (less need to understand underlying data) Cons Require a very large amount of data! Prone to overfitting Long training