Mixture model A Gaussian mixture model is a probabilistic way of representing subpopulations within an overall population. We only observe the data, not the subpopulation from which observation belongs. We have $N$ random variables observed, each distributed according to a... Read more about Variational Gaussian Mixtures for Face Detection
Correspondence Analysis Correspondence analysis is a multivariate statistical technique that summarizes a set of categorical data in a two dimensional form. It’s like the equivalent of Principal Component Analysis but for categorical data. Correspondence analysis is usually applied to contigency... Read more about Correspondence Analysis of Mexican Discourses
ElephantSQL ElephantSQL offers a free instance of Postgresql, with a limit of 20 MB and 5 concurrent connections. For example, you can upload a shiny application that depends on data from ElephantSQL. You only need to register to the site... Read more about Postgresql + R Sandbox
Trying gradient descent for linear regression The best way to learn an algorith is to code it. So here it is, my take on Gradient Descent Algorithm for simple linear regression. First, we fit a simple linear model with lm... Read more about Gradient Descent
What happens when you combine Pokemon with Neo4j? I’m a huge Pokemon fan. So, when I found about this awesome post from Joshua Kunst, I just couldn’t wait to throw all that data into Neo4j. It also happens to be... Read more about Building a pokemon graph database
What is R-Bloggers? R-Bloggers is a blog aggregator of content about R. You can find tons of cool stuff, like statistics, web scraping, finance, plots, etc. Finally this blog was accepted into R-Bloggers! I encourage you to follow R-Bloggers. It... Read more about R-Bloggers