Bayesian GPS

A Bayesian take on GPS esque maths

Published on May 23rd, 2019

Question¶I call this the Bayesian GPS problem. In it's a simplified form, we're given a 2d plane and a series of distance estimates between ourselves and each tower. We know the location of each tower, but the measurements aren't super accurate.... (Continue Reading)

Lsyncd

Or working on remote servers

Published on May 10th, 2019

This is a short blog on using lsycnd, a tool to sync between you and a remote host. Working on a Remote Host In many instances, I find it necessary to work on a remote host. The reasons are numerous, but commonly come down to hardware - I need a GPU … (Continue Reading)

My Contribution to Numpy

Histograms, binwidth and the importance of communication

Published on January 31st, 2019

Back in 2015, I was doing a lot of histogram plotting (as a result of MCMC) and was annoyed that I had to keep manually specifying the number of bins. At this stage I was somewhat versed with git (the 3 commands I needed, else delete and do a... (Continue Reading)

A Bayesian's view on Neural Nets

Deep Learning, Convolution and the Hype Machine

Published on October 23rd, 2018

My first neural net was actually coded up in 2009. I had decided to go to med school and while hating the degree program, I got a chance to do an elective called "Science in Medicine". I didn't really know how to program at this point, so it was done … (Continue Reading)

A/B testing / Bandit Methods

Resources and Skepticism

Published on October 22nd, 2018

This is a short article, primarily full of resources. I assume some basic knowledge of A/B testing A/B testing I must start posting Evan Miller's articles on the subject which I consider a fantastic resource in this area. How not to run an A/B... (Continue Reading)
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