Machine Learning, Deep Learning, Algorithms, Loss Function, Optimization.
regression we are either estimating a parameter w or estimating a function mapping from x to y. Bias and Variance Bias and variance measure two different sources of error in an estimator. Bias measures the expected deviation from the true value of the function or parameter. Variance on the other