Bias and Variance is the common words which we will hear in Machine Learning. Bias: we will see this issue more in parameter Machine Learning algorithms, because most of the parameter algorithms are liner/polynomial, so It will not touch/read all data points, so we will have more error, which leads to under fitting.If you seeContinue reading “Bias-Variance and trade off”