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 …
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…
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…
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…
I just went through some pain (again) when I wanted to install some of Python’s scientific libraries on my second Mac. I summarized the setup and…
After I wrote the initial teaser article “SQLite – Working with large data sets in Python effectively” about how awesome SQLite databases are via sqlite3 in…
In the previous article we have discussed about the Data Envelopment Analysis technique and we have seen how it can be used as an effective non-parametric ranking algorithm. In this blog post we will develop an implementation of Data Envelopment Analys…
Data Envelopment Analysis, also known as DEA, is a non-parametric method for performing frontier analysis. It uses linear programming to estimate the efficiency of multiple decision-making units and it is commonly used in production, management and eco…
This is a quickguide showing how to use OpenEye software command line tools to align target molecules to a query based on substructure matches and how to…
In this article we will discuss how you can build easily a simple Facebook Sentiment Analysis tool capable of classifying public posts (both from users and from pages) as positive, negative and neutral. We are going to use Facebook’s Graph API Search a…