Machine Learning, Deep Learning, Neural Networks, Heartbeat, Mlops.
as model complexity increases, training error reduces—but the complex model will have high variance because of overfitting. If we take the simple model, training and test error will both be high because of high bias. We want to get a model that balances both bias and variance such that training and