596 episodes. 40 seasons. 1 package! I’m a pretty big fan of Survivor and have religiously watched every season since […] The post survivoR | Data from the TV series in R appeared first on Daniel Oehm | Gradient Descending. [Read more...]

What’s that saying? Choice is the enemy of happiness, or something like that. There are so many colour palettes out […] The post Evolve new colour palettes in R with evoPalette appeared first on Daniel Oehm | Gradient Descending. [Read more...]

Generative Adversarial Networks are great for generating something from essentially nothing and there are some interesting uses for them. Most […] The post Some basics and intuition behind GAN’s in R and Python appeared first on Daniel Oehm | Gradient Descending. [Read more...]

Bayesian networks are really useful for many applications and one of those is to simulate new data. Bayes nets represent […] The post Simulating data with Bayesian networks appeared first on Daniel Oehm | Gradient Descending. [Read more...]

Previously I posted on how to apply gradient descent on linear regression as an example. With that as background it’s […] The post Use more of your data with matrix factorisation appeared first on Daniel Oehm | Gradient Descending. [Read more...]

If you’re like me, when running a process through a loop you’ll add in counters and progress indicators. That way […] The post Fun with progress bars: Fish, daggers and the Star Wars trench run appeared first on Daniel Oehm | Gradient Descending. [Read more...]

In my previous post I built a Shiny app mapping accidents on Queensland roads which was great at showing the […] The post Bayesian estimation of fatality rates and accidents involving cyclists on Queensland roads appeared first on Daniel Oehm | Gradient Descending. [Read more...]

The Queensland government collects data on road accidents dating back to 1st January 2001 and details characteristics of the incident […] The post Queensland road accidents mapped with Shiny and leaflet in R appeared first on Daniel Oehm | Gradient Descending. [Read more...]

Every so often a problem arises where it’s appropriate to use gradient descent, and it’s fun (and / or easier) […] The post Applying gradient descent – primer / refresher appeared first on Daniel Oehm | Gradient Descending. [Read more...]

It’s generally accepted that Martingale betting strategies don’t work. But people still gravitate towards them because they are intuitive. I […] The post Martingale strategies don’t work, but we knew that – Simulation analysis in R appeared first on Daniel Oehm | Gradient Descending. [Read more...]

ggplot – You can spot one from a mile away, which is great! And when you do it’s a silent […] The post Adding Custom Fonts to ggplot in R appeared first on Daniel Oehm | Gradient Descending. [Read more...]

Townsville, Qld, has been inundated with torrential rain and has broken the record of the largest rainfall over a 10 […] The post The Most Amount of Rain over a 10 Day Period on Record appeared first on Daniel Oehm | Gradient Descending. [Read more...]

In my last post I looked at generating synthetic data sets with the ‘synthpop’ package, some of the challenges and […] The post Synthesising Multiple Linked Data Sets and Sequences in R appeared first on Daniel Oehm | Gradient Descending. [Read more...]

Synthpop – A great music genre and an aptly named R package for synthesising population data. I recently came across […] The post Generating Synthetic Data Sets with ‘synthpop’ in R appeared first on Daniel Oehm | Gradient Descending. [Read more...]

In my last post I coded Liar’s Dice in R and some brainless bots to play against. I build on […] The post Q-learning example with Liar’s Dice in R appeared first on Daniel Oehm | Gradient Descending. [Read more...]

I have been playing Red Dead Redemption 2, immersing myself in the Old West as I did with the first […] The post Liar’s Dice in R appeared first on Daniel Oehm | Gradient Descending. [Read more...]

Recently I developed a solution using a Hidden Markov Model and was quickly asked to explain myself. What are they […] The post Hidden Markov Model example in r with the depmixS4 package appeared first on Daniel Oehm | Gradient Descending. [Read more...]

Bayesian Networks are probabilistic graphical models and they have some neat features which make them very useful for many problems. […] The post Bayesian Network Example with the bnlearn Package appeared first on Daniel Oehm | Gradient Descending. [Read more...]

I recently purchased a new laptop with an Intel i7-8750 6 core CPU with multi-threading meaning I have 12 logical […] The post Simple Parallel Processing in R appeared first on Daniel Oehm | Gradient Descending. [Read more...]

Cribbage is one of my favourite card games and have been playing it ever since I could count. It is […] The post Cribbage: Optimal Hand (part 1) appeared first on Daniel Oehm | Gradient Descending. [Read more...]