Don’t get fooled by the Gambler’s Fallacy
A while ago I simulated Martingale strategies and some variations. This is the strategy where you double your bet on […]
A while ago I simulated Martingale strategies and some variations. This is the strategy where you double your bet on […]
What’s that saying? Choice is the enemy of happiness, or something like that. There are so many colour palettes out […]
Generative Adversarial Networks are great for generating something from essentially nothing and there are some interesting uses for them. Most […]
Bayesian networks are really useful for many applications and one of those is to simulate new data. Bayes nets represent […]
Previously I posted on how to apply gradient descent on linear regression as an example. With that as background it’s […]
If you’re like me, when running a process through a loop you’ll add in counters and progress indicators. That way […]
In my previous post I built a Shiny app mapping accidents on Queensland roads which was great at showing the […]
The Queensland government collects data on road accidents dating back to 1st January 2001 and details characteristics of the incident […]
The Buffalo Stampede is one of the most brutal races on the ultra calendar covering 75km and 4545m of climbing. […]
Every so often a problem arises where it’s appropriate to use gradient descent, and it’s fun (and / or easier) […]
It’s generally accepted that Martingale betting strategies don’t work. But people still gravitate towards them because they are intuitive. I […]
ggplot – You can spot one from a mile away, which is great! And when you do it’s a silent […]
Townsville, Qld, has been inundated with torrential rain and has broken the record of the largest rainfall over a 10 […]
In my last post I looked at generating synthetic data sets with the ‘synthpop’ package, some of the challenges and […]
Synthpop – A great music genre and an aptly named R package for synthesising population data. I recently came across […]