Machine Learning, Data Science, Overfitting, Underfitting.
to use feature selection approaches to select only those features that carry the maximum amount of useful information. It is worthwhile to say that in the context of neural networks, feature engineering and feature selection make almost no sense because the network finds dependencies in the data