AI & Machine Learning
The centre of everything I'm doing right now. I'm working through machine learning from first principles — linear algebra and statistics underneath, Python and the modern ML stack on top — so that I understand models rather than just call them.
- Python as a first-class ML language: data handling, vectorised maths, experiment loops
- Neural network fundamentals — how gradients, layers and loss functions actually behave
- Building with LLM APIs and agent tooling, not just prompting them
- Turning notebooks into real, deployed, useful software