Expectation Maximization for Gaussian Mixture Models and Hidden Markov Models

For a course at EPFL, I recently gave a presentation on Expactation Maximization for Gaussian Mixture Models and Hidden Markov Models. The presentation had nice feedbacks, and I thought that including it here could be useful:

I summarized this presentation on Towards Data Science, right here.

I also made an interactive Dash web application. Here’s a preview of what you can find in it:

The Github of the project can be found here.