Bias in machine learning refers to: Predictive bias: A systematic error where a model makes consistent incorrect predictions due to oversimplified assumptions, leading to underfitting. Bias term in models: A parameter in neural networks and regression models that allows shifting of the activation threshold. Bias-variance tradeoff is a fundamental concept, where high bias leads to underfitting, while high variance results in overfitting.