Bias, Variance, Under-fitting, and Over-fitting and bias variance tradeoff

Bias in Machine Learning Bias refers to the simplifying assumptions made by a model to make the target function easier to learn. High bias can lead to underfitting Represents the error introduced by approximating a real-world problem Example: A li...