Implementing a recurrent neural network in python
Oct 2013 by Tiago Ramalho
In one of my recent projects I was interested in learning a regression for a quite complicated data set (I will detail the model in a later post, for now suffice to say it is a high dimensional time series). The goal is to have a model which given an...
Facelift
Oct 2013 by Tiago Ramalho
So it was time to update the visual of this blog, as the default twenty twelve wordpress theme was starting to show its age. I started finding it visually boring a few months ago and the fact that it is not a responsive design let me to decide that a...
Kernel density estimation
Jul 2013 by Tiago Ramalho
Sometimes you need to estimate a probability distribution from a set of discrete points. You could build a histogram of the measurements, but that provides little information about the regions in phase space with no measurements (it is very likely you won’t have enough points to span the whole phase...
An introduction to smoothing time series in python. Part IV: Particle Filter
Jul 2013 by Tiago Ramalho
Last time we started talking about state space models with the Kalman Filter. Our aim has been to find a smoothed trajectory for some given noisy observed data. In the case of state space models, we incorporate a model for the underlying physical system to calculate a likelihood for each...
Simulating tissues with pressure
Jul 2013 by Tiago Ramalho
One small project I did was to code up a simulation of a growing tissue which feels pressure and where each cell has a dynamic state which depends on its neighbors and the pressure it feels. The idea is to reproduce some essential properties of morphogenesis. You can look at...