Back
Linklog
This is my Linklog where I keep links to my favorite content on the Internet. It's a great way to keep this content as reference while also sharing articles and tools I encounter and find interesting.
January 2026
- Feature Selection: A Primer (ikromshi.com)
- #statistics
This is a very thorough review on the statistics behind the various measures used to select features when building a predictive model. Very nicely written!
September 2025
- Minesweeper thermodynamics (oscarcunningham.com)
- #physics#statistics
This is a really cool way to analyze the probabilities of minesweeper states from a statistical physics perspective.
May 2025
- Are you more likely to die on your birthday? (pudding.cool)
- #data#statistics
A fun analysis of the birthday effect using actual data and thorough methodology.
February 2025
- Bayesian Methods for Hackers (dataorigami.net)
- #statistics#python
An illustrated introduction to Bayesian statistics using Jupyter notebooks. I was always confused about the difference between Bayesian and Frequentist approaches until I read this.
September 2024
- Introduction to Data Science (rafalab.dfci.harvard.edu)
- #statistics#data-science
An online book focusing on the fundamentals of data science (statistics, traditional machine learning). I don't know much about R (on which this book is based) but most of the theory in there is relevant for any junior data scientist.
July 2024
- A User’s Guide to Statistical Inference and Regression (mattblackwell.github.io)
- #statistics
Brief introductory book to essential statistics. This online book is very clear and helped me understand concepts I always found confusing.