MLIP L24 - Bayesian Classification Part-12 (Maximum Likelihood Parameter Estimation Part-2)

Link to the course page for all the relevant material: https://subrahmanyamgorthi.weebly.com... In this lecture, an example problem is solved for a better understanding of parameter estimation using the Maximum Likelihood (ML) method, and concepts regarding the topic are clarified. The key properties of ML estimation are also presented in this lecture. Video Index: 00:00 - Recap of last lecture-parameter estimation 02:40 - An example problem 16:40 - Doubts clarification 27:10 - Properties of ML estimation