Daniel Oehm | Gradient Descending

  • Home
  • About Me
  • Data Science
  • R
  • Ultrarunning
  • Contact

survivoR now on CRAN!

April 10, 2021No Comments

survivoR | Data from the TV series in R

January 18, 2021No Comments

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
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 […]

Continue Reading...

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. […]

Continue Reading...

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 […]

Continue Reading...

Ultrarunning

UTA100 2018: Race report

June 5, 2018 Daniel Oehm 0 Comments

This was my first UTA100. A race I’ve long wanted to do. It’s an amazing event, the atmosphere is exhilarating […]

Continue Reading...

Data Science

Agile Methodology for Data Science Projects

June 1, 2018 Daniel Oehm 0 Comments

Agile project management methodology is a powerful framework when businesses are faced with uncertainty, rigid time frames and budget constraints. […]

Continue Reading...

Data Science

Singular Value Decomposition: Image Compression

May 12, 2018 Daniel Oehm 0 Comments

Singular value decomposition (SVD) is a matrix factorisation technique. It is a method to factorise any given matrix into 3 […]

Continue Reading...

Data Science R

What is the Bayes Factor anyway?

May 10, 2018 Daniel Oehm 0 Comments

The Bayes Factor is a quantitative measure of much evidence there is for hypothesis A relative to hypothesis B given […]

Continue Reading...

Data Science R

Forecasting Air Pollution Levels with State Space Models

May 8, 2018 Daniel Oehm 0 Comments

Recently I was looking at a Kaggle dataset on air quality and the relationships between the concentrations of contaminants and […]

Continue Reading...

Data Science R

State Space Models for Time Series Analysis and the dlm package

May 8, 2018 Daniel Oehm 0 Comments

State space modelling is a popular technique for forecasting and smoothing time series data. There are two main components which […]

Continue Reading...

Data Science R

Classifying with Discrete Time Markov Chains

May 7, 2018 Daniel Oehm 0 Comments

Discrete Time Markov Chain A discrete time markov chain is a stochastic model describing a sequence of observed events. The […]

Continue Reading...

Data Science R

Metropolis-Hastings Algorithm from Scratch

May 5, 2018 Daniel Oehm 0 Comments

Metropolis Algorithm The Metropolis algorithm is a common acceptance/rejection algorithm for sampling from target distributions and a key tool for […]

Continue Reading...

Posts navigation

  • Previous page
  • 1
  • 2
  • 3
Bits and Pieces
I'm pleased to be a contributor to R Bloggers. It is where you will find most of my posts featuring R.
Follow me on Twitter
Tweets by @danoehm
Recent Posts
  • survivoR now on CRAN!
  • survivoR | Data from the TV series in R
  • 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
Archives
  • April 2021 (1)
  • January 2021 (1)
  • August 2020 (1)
  • June 2020 (1)
  • April 2020 (1)
  • October 2019 (1)
  • September 2019 (1)
  • August 2019 (1)
  • May 2019 (2)
  • April 2019 (3)
  • March 2019 (1)
  • February 2019 (2)
  • January 2019 (1)
  • December 2018 (1)
  • November 2018 (3)
  • October 2018 (1)
  • September 2018 (2)
  • August 2018 (1)
  • July 2018 (4)
  • June 2018 (6)
  • May 2018 (6)
Categories
  • Data Science 36
  • Python 2
  • R 34
  • Ultrarunning 2
Meta
  • Log in
  • Entries feed
  • Comments feed
  • WordPress.org
© 2021 Daniel Oehm | Gradient Descending. All rights reserved.
Theme by WPWarfare Powered by WordPress