Dan Oehm | Gradient Descending

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Category: Data Science

Infographic of the history of advantages in Survivor Data Science R Survivor

Survivor Advantages: Dataset showcase for {survivoR}

June 10, 2022 Daniel Oehm 0 Comments

Advantages were introduced to Survivor to give players an edge and to shake up the strategy. A successful play can […]

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Data Science Survivor

Survivor Do or Die: Should you sit out or fight for immunity?

May 15, 2022 Daniel Oehm 0 Comments

Simulation analysis in R to determine the odds of success behind the Do or Die twist in Survivor

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Data Science R Survivor

survivoR v1.0 is now on CRAN

May 14, 2022 Daniel Oehm 0 Comments

I’m happy to announce that survivoR v1.0 is now on CRAN. The package now contains all the features intended for […]

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Data Science Survivor

Racial Bias in Survivor: Are People of Colour Disproportionately Voted Out First?

May 4, 2022 Daniel Oehm 0 Comments

After episode 9 of season 42 of Survivor, there was a lot of discussion of implicit racial bias in Survivor. […]

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Data Science R

survivoR now on CRAN!

April 10, 2021 Daniel Oehm 0 Comments

I am pleased to announce survivoR 0.9.2 is now on CRAN. The survivoR data package is a collection of datasets […]

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Data Science

Don’t get fooled by the Gambler’s Fallacy

August 17, 2020 Daniel Oehm 0 Comments

A while ago I simulated Martingale strategies and some variations. This is the strategy where you double your bet on […]

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Data Science R

Evolve new colour palettes in R with evoPalette

June 7, 2020 Daniel Oehm 0 Comments

What’s that saying? Choice is the enemy of happiness, or something like that. There are so many colour palettes out […]

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Data Science Python R

Some basics and intuition behind GAN’s in R and Python

April 15, 2020 Daniel Oehm 0 Comments

Generative Adversarial Networks are great for generating something from essentially nothing and there are some interesting uses for them. Most […]

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Data Science R

Simulating data with Bayesian networks

October 15, 2019 Daniel Oehm 0 Comments

Bayesian networks are really useful for many applications and one of those is to simulate new data. Bayes nets represent […]

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Data Science R

Use more of your data with matrix factorisation

September 12, 2019 Daniel Oehm 0 Comments

Previously I posted on how to apply gradient descent on linear regression as an example. With that as background it’s […]

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Data Science R

Bayesian estimation of fatality rates and accidents involving cyclists on Queensland roads

May 23, 2019 Daniel Oehm 0 Comments

In my previous post I built a Shiny app mapping accidents on Queensland roads which was great at showing the […]

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Data Science R

Queensland road accidents mapped with Shiny and leaflet in R

May 2, 2019 Daniel Oehm 0 Comments

The Queensland government collects data on road accidents dating back to 1st January 2001 and details characteristics of the incident […]

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Data Science R

Applying gradient descent – primer / refresher

April 18, 2019 Daniel Oehm 0 Comments

Every so often a problem arises where it’s appropriate to use gradient descent, and it’s fun (and / or easier) […]

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Data Science R

Martingale strategies don’t work, but we knew that – Simulation analysis in R

April 5, 2019 Daniel Oehm 1 Comment

It’s generally accepted that Martingale betting strategies don’t work. But people still gravitate towards them because they are intuitive. I […]

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Data Science R

Adding Custom Fonts to ggplot in R

March 16, 2019 Daniel Oehm 2 Comments

ggplot – You can spot one from a mile away, which is great! And when you do it’s a silent […]

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Recent Posts
  • How to use multiple colour scales in ggplot with {ggnewscale}
  • Survivor Advantages: Dataset showcase for {survivoR}
  • Survivor Do or Die: Should you sit out or fight for immunity?
  • survivoR v1.0 is now on CRAN
  • Racial Bias in Survivor: Are People of Colour Disproportionately Voted Out First?
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