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Bayesian statistics for confused data scientists
A gentle introduction to Bayesian statistics for data scientists who, like me, are confused by it.
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Pokémon team optimization
This article will show you how forming your Pokémon team can be turned into a mathematical optimization problem.
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Interfaces in Python
Some musings on how to use protocols and abstract classes as interfaces in Python.
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Building an LLM-based CLI tool to generate commit messages
A simple afternoon project to familiarize myself with the Ollama API.
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Physics informed neural networks
An interesting use of deep learning to solve physics problems.
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Forecasting energy demand using Skforecast
This is how I built an end-to-end timeseries prediction pipeline.
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Ising model, Metropolis sampling and genetic algorithms
How to simulate the physics of magnets using Monte-Carlo methods and genetic algorithms.