Machine Learning, Deep Learning, Algorithms, Loss Function, Optimization.
estimator great flexibility. While almost any function thus qualifies as an estimator, a good estimator is a function whose output is close to the true underlying θ that generated the training data. Point estimation can also refer to estimation of relationship between input and target variables