## Tutorial of EM algorithm

The following contents have much to do with the following materials:

• Frank Dellaert, The Expectation Maximization Algorithm link
• C.B. Do & S. Batzoglou, What is the expectation maximization algorithm link

Both of the papers have presented a simple and elegant explaination, while this tutorial aims to further combines them together ...

## Integrating Pelican with IPython notebook

This is a test page for integrating IPython notebook into the blog. The following file came from Jake Vanderplas's blog.

Add the following line into the markdown file:

{% notebook path/to/notebook.ipynb [cells[i:j]] %}


This inserts the notebook at the given location in the post, optionally selecting ...

## Statsmodels.py (1)

Statsmodels is a Python package that provides basic functions in descriptive statistics, estimation and inferences. This package has a rely upon the Scipy libraries. It also needs the Pandas for some modules to work.

Unlike Scikit-learn, Statsmodels is not designed for Machine Learning purposes, although many of its features (especially ...

PhD Student at Department of Electrical and Computer Engineering, Michigan State University

Email: wangzh34@msu.edu

## Simple steps to a personal blog

This personal blog is constructed on the following components:

Some more details could be found in the homepage of the aforementioned projects. The following parts provides an initial setup for static personal webpages.

### Why Pelican ?

Well, there are certainly many other excellent choices like Jekyll. While ...