Machine Learning, Deep Learning, Algorithms, Loss Function, Optimization.
hand, provides a measure of the deviation from the expected estimator value that any particular sampling of the data is likely to cause. Bias The bias of an estimator is defined as: where the expectation is over the data (seen as samples from a random variable)and θis the true underlying value of