## Theoretically rigorous introduction to EM, Mixture of Gaussians and K-means

This post ties together EM (Expectation Maximization), GMM (Gaussian Mixture Models), K means and variational inference. If you have taken an introductory ma...

This post ties together EM (Expectation Maximization), GMM (Gaussian Mixture Models), K means and variational inference. If you have taken an introductory ma...

Multivariate normal (MVN) is used everywhere in machine learning, from simple regressions, linear discriminant analysis, Kalman filters to gaussian processes...

There is nothing in statistics that is as easy as regressions to use but as hard to make a correct interpretation. Especially in causal inference, even the c...

Science experiments, social experiments, thought experiments, … We use the word “experiment” somewhat often in real life. But have you ever wondered what exp...