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.
预测未来的最好方式就是创造未来。
Markets are not perfect, but well-designed ones come close.