Daniel Oehm | Gradient Descending

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Don’t get fooled by the Gambler’s Fallacy

August 17, 2020No Comments

Evolve new colour palettes in R with evoPalette

June 7, 2020No Comments

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

April 15, 2020No Comments

Simulating data with Bayesian networks

October 15, 2019No Comments
Data Science R

Q-learning example with Liar’s Dice in R

December 20, 2018 Daniel Oehm 0 Comments

In my last post I coded Liar’s Dice in R and some brainless bots to play against. I build on […]

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Python

Secret Santa List Using Python

November 28, 2018 Daniel Oehm

It’s that time of year again. Christmas. Buying presents is a chore and stressful, so a popular option is Secret […]

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Data Science R

Liar’s Dice in R

November 24, 2018 Daniel Oehm

I have been playing Red Dead Redemption 2, immersing myself in the Old West as I did with the first […]

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Data Science R

Hidden Markov Model example in R with the depmixS4 package

November 6, 2018 Daniel Oehm

Recently I developed a solution using a Hidden Markov Model and was quickly asked to explain myself. What are they […]

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Data Science R

Bayesian Network Example with the bnlearn Package

October 1, 2018 Daniel Oehm 0 Comments

Bayesian Networks are probabilistic graphical models and they have some neat features which make them very useful for many problems. […]

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Data Science R

Simple Parallel Processing in R

September 15, 2018 Daniel Oehm 0 Comments

I recently purchased a new laptop with an Intel i7-8750 6 core CPU with multi-threading meaning I have 12 logical […]

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Data Science R

Cribbage: Optimal Hand (part 1)

September 8, 2018 Daniel Oehm

Cribbage is one of my favourite card games and have been playing it ever since I could count. It is […]

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Data Science R

Probability of Selecting Matched Pairs and the Hypergeometric Distribution

August 8, 2018 Daniel Oehm 0 Comments

The problem Consider a case where we have a bag of marbles of size . The bag consists of black […]

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Data Science R

PCA vs Autoencoders for Dimensionality Reduction

July 28, 2018 Daniel Oehm 0 Comments

There are a few ways to reduce the dimensions of large data sets to ensure computational efficiency such as backwards […]

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Data Science R

Confidentialise Your Data with the randomNames Package

July 23, 2018 Daniel Oehm 0 Comments

Sensitive data has it’s restrictions for good reason. Personal data such as names and other identifiable information should be protected. […]

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Data Science

Improve Your Training Set with Unsupervised Learning

July 14, 2018 Daniel Oehm 0 Comments

On my previous post Advanced Survey Design and Application to Big Data I mentioned unsupervised learning can be used to […]

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Data Science R

Advanced Survey Design and Application to Big Data

July 11, 2018 Daniel Oehm 2 Comments

I like to describe Official statistics as the All Bran of statistics, it’s bland and a bit boring but it […]

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Data Science R

Deep Neural Network from Scratch in R

June 15, 2018 Daniel Oehm 0 Comments

Neural networks evolved in the computer science domain are often the first thing people think of when they hear machine […]

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Data Science R

Unsupervised Random Forest Example

June 8, 2018 Daniel Oehm 2 Comments

A need for unsupervised learning or clustering procedures crop up regularly for problems such as customer behavior segmentation, clustering of […]

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Data Science R

Design Matrix for Regression Explained

June 7, 2018 Daniel Oehm 1 Comment

Recently I was asked about the design matrix (or model matrix) for a regression model and why it is important. […]

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Recent Posts
  • Don’t get fooled by the Gambler’s Fallacy
  • Evolve new colour palettes in R with evoPalette
  • Some basics and intuition behind GAN’s in R and Python
  • Simulating data with Bayesian networks
  • Use more of your data with matrix factorisation
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