Blog Archives

Variational Gaussian Mixtures for Face Detection

July 12, 2018
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Variational Gaussian Mixtures for Face Detection

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 mixture of K gaussian components. Each gaussian has its own parameters, and we should be able to estimate the category using Expectation Maximization, as we are...

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Correspondence Analysis of Mexican Discourses

June 23, 2018
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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 tables. In this post, we will apply it to a frequency matrix (term document matrix from bag of words representation). The analysis...

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Postgresql + R Sandbox

September 23, 2017
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Postgresql + R Sandbox

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 and automat...

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Gradient Descent

March 28, 2017
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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 for comparison with gradient...

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Building a pokemon graph database

December 3, 2016
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Building a pokemon graph database

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 a great way to learn how to build ...

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