A uni$-$variate Gaussian distribution is used to model data that consists of non$-$negative

integers. Suppose you observe m integers in your training set. Your model assumption is

that each integer is sampled from one of two different Gaussian distributions. You would

like to learn this model using the EM algorithm. List all the parameters of the model.

Derive the E$-$step and M$-$step for the model.