Source Code for Maximum Likelihood Estimation

This source code implements Maximum Likelihood Estimation (MLE) for parameter estimation, featuring optimization algorithms and likelihood function implementations suitable for statistical modeling and machine learning applications.

EM Algorithm: A Beginner-Friendly Parameter Estimation Example

A fundamental introduction to the EM (Expectation-Maximization) algorithm with practical implementation insights for parameter estimation in probabilistic models containing latent variables.