Dan Oehm | Gradient Descending

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Tag: Statistics

R Survivor

Survivor Confessionals Data: Dataset showcase for {survivoR}

July 30, 2022 Daniel Oehm 0 Comments

Confessionals loosely represent a player’s screen time where they talk strategy and replay events. It is an imperfect measure but […]

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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

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

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

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

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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Data Science R

Introduction to Outlier Detection

June 5, 2018 Daniel Oehm 0 Comments

Outlier detection and treatment is an important part of data analysis and one of the first things you should do […]

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