The key differences between Python 2.7.x and Python 3.x with examples
Many beginning Python users are wondering with which version of Python they should start. My answer to this question is usually something along the lines…
python
Markdown, python, Web
5 simple steps for converting Markdown documents into HTML and adding Python syntax highlighting
In this little tutorial, I want to show you in 5 simple steps how easy it is to add code syntax highlighting to your blog articles.
Machine Learning & Statistics
The Dirichlet Process the Chinese Restaurant Process and other representations
This article is the third part of the series on Clustering with Dirichlet Process Mixture Models. The previous time we defined the Finite Mixture Model based on Dirichlet Distribution and we posed questions on how we can make this particular model infi…
python
Creating a table of contents with internal links in IPython Notebooks and Markdown documents
Many people have asked me how I create the table of contents with internal links for my IPython Notebooks and Markdown documents on GitHub. Well, no…
Machine Learning & Statistics
Finite Mixture Model based on Dirichlet Distribution
This blog post is the second part of an article series on Dirichlet Process mixture models. In the previous article we had an overview of several Cluster Analysis techniques and we discussed some of the problems/limitations that rise by using them. Mor…
python
A Beginner’s Guide to Python’s Namespaces, Scope Resolution, and the LEGB Rule
A short tutorial about Python’s namespaces and the scope resolution for variable names using the LEGB-rule with little quiz-like exercises.
Machine Learning & Statistics
Overview of Cluster Analysis and Dirichlet Process Mixture Models
In the ISO research project for my MSc in Machine Learning at Imperial College London, I focused on the problem of Cluster Analysis by using Dirichlet Process Mixture Models. The DPMMs is a “fully-Bayesian” unsupervised learning technique which unlike …
python
Diving deep into Python
Some while ago, I started to collect some of the not-so-obvious things I encountered when I was coding in Python. I thought that it was worthwhile sharing…
Machine Learning, python, statistics
Implementing a Principal Component Analysis (PCA)
In this article I want to explain how a Principal Component Analysis (PCA) works by implementing it in Python step by step. At the end we will compare the…
Machine Learning & Statistics, programming
Using Artificial Intelligence to solve the 2048 Game (JAVA code)
By now most of you have heard/played the 2048 game by Gabriele Cirulli. It’s a simple but highly addictive board game which requires you to combine the numbers of the cells in order to reach the number 2048. As expected the difficulty of the game incre…