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Progress We've seen some exciting developments in the past few weeks: OpenAI announced they had used their latest internal AI model, Astra, to make ten advances in mathematics and theoretical computer science.

My Malleable Dev Setup David Heinemeier Hansson framed it eloquently: AI is making computers malleable at a ferocious rate.

Thinking big Remember February 2020, watching the covid virus spread overseas and wondering what would happen?

What you can do for European Digital Sovereignty We pay for insurance but hope we never need it.

My Opus 4.5 Moment The "ChatGPT moment" was November 30, 2022, the day OpenAI released the first version of ChatGPT.

Introducing Alt Alpha: Explore alternative keyboard layouts Almost a year ago I switched to the ZSA Voyager, a programmable, ergonomic split keyboard that features four thumb buttons per hand instead of the single spacebar found on traditional keyboards.

Introducing an actually helpful sudoku solver I occasionally enjoy playing sudoku puzzles.

Lessons learned after hitting 1M downloads/month I hit that magic 1 million downloads/month milestone for one of the first open source projects I built: mkdocs-git-revision-date-localized-plugin.

Benchmarking scikit-learn across python versions using uv When python 3.11 came out 2 years ago (24 October 2022) it promised to be 10-60% faster than python 3.10, and 1.25x faster on the standard benchmark suite (see the what's new in 3.11).

Thoughts on Constrained Intelligence In my career I've focused mostly on applying what is now called 'traditional machine learning': regression, classification, time series, anomaly detection and clustering algorithms.

Inserting interactive scikit-learn diagrams into mkdocs scikit-learn has this nice feature where you can display an interactive visualization of a pipeline.

Speeding up databricks SQL queries Retrieving data from a datawarehouse is a common operation for any data scientist.

Is XGBoost really all we need?

Adjusting the bootstrap in Random Forest The RandomForest algorithm was introduced by Breiman back in 2001 (paper).

Reproducible Reports with MkDocs In the post Using MkDocs for technical reporting I explained how MkDocs works and why it's a good choice for writing technical reports.

Introducing Skorecard for building better logistic regression models skorecard is an open source python package that provides scikit-learn compatible tools for bucketing categorical and numerical features and building traditional credit risk acceptance mo…

Using MkDocs for technical reporting In this post I will explain why MkDocs is well suited for writing technical reports on machine learning models and introduce relevant parts of the MkDocs ecosystem.

Using streamlit to set the threshold for a classifier In this post I will demonstrate how to use streamlit to build an app that can help interactively set the threshold for your machine learning classifier.

From Central Limit Theorem to Bayes's Theorem via Linear Regression Take any statistics course and you'll have heard about the central limit theorem.

Quickly finding closest coordinates using K-D-Trees This post will demonstrate how to quickly find for a given coordinate (latitude and longitude), the closest coordinate out of a list of other coordinates using K-D-Trees and the Euclidean distance.