This page may be out of date. Save your draft before refreshing this page.Submit any pending changes before refreshing this page.

*Below is an implementation of EM Algorithm in Octave:*

%%h is the label matrix %%r2 is the mean matrix...

Let's take classification as an example of Supervised Learning. The source of data corresponds to it's class, and the problem of classification is to identify to which class a particular data point belongs. In the training phase, an expert provides class labels along with training data.

Let X be a...

Univariate Gaussian Distribution arises in many natural settings and it's characterized by parameters [math]\theta = [\mu,\sigma^2][/math].

Consider the situation in which you are given some data points which are assumed to be representative of population from which they are drawn. The population's distribution is a Gaussian Distrib...