Understanding Maximum Likelihood Estimation (MLE) in Machine Learning

Maximum Likelihood Estimation (MLE) is a fundamental concept in machine learning and statistics that plays a crucial role in parameter estimation for probabilistic models. It forms the backbone of many algorithms and techniques used in modern data-driven applications. In this blog, we will explore the concept of Maximum Likelihood Estimation, its importance, and how it is applied in various machine learning scenarios.

What is Maximum Likelihood Estimation?