I explore how AI, optimisation and uncertainty can be turned into decision systems that work beyond the model. For a long time I thought the hard part of a data project was getting the right answer.

Learn how to apply Clean Architecture in Python without overengineering, using domain entities, use cases, Protocols, and ...

We finish off our short series on SLM optimization with the third entry, focused on batching by length instead of looping ...

Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one ...

Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne ...