### survivoR now on CRAN!

I am pleased to announce survivoR 0.9.2 is now on CRAN. The survivoR data package is a collection of datasets […]
The post survivoR now on CRAN! appeared first on Daniel Oehm | Gradient Descending. [Read more...]

I am pleased to announce survivoR 0.9.2 is now on CRAN. The survivoR data package is a collection of datasets […]
The post survivoR now on CRAN! appeared first on Daniel Oehm | Gradient Descending. [Read more...]

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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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