Machine Learning, Artificial Intelligence, Neural Networks, Data Science, Towards Data Science.
obvious ways of reducing bias are to train a bigger model (increases the explainability of the model), train longer (reach convergence), or adapt the neural architecture or perform an extensive hyperparameter search. Obvious ways of reducing the variance are to get more data, to use regularization