Data Science, Statistics, Machine Learning.
equal to the true parameter of interest is called an unbiased estimator. The sample mean is an unbiased estimator. Parametric Methods: We assume the population follows a certain distribution and try to estimate its parameters from the available data. Non-parametric Methods: No assumptions are made