在机器学习中,偏差和方差之间的权衡对于实现良好的泛化至关重要。
In machine learning, the trade-off between bias and variance is crucial for achieving good generalization.
The only lies for which we are truly punished are those we tell ourselves.
"You don't write because you want to say something; you write because you've got something to say."