After making the computer room posters last year, I suggested to my department to make some for our coffee room. Just like the first time, this post is to document the creative choices made.

Turing Machines are the classic formalization of computation, later followed by many others. In this post, I will show how to represent any Turing Machine as a nonlinear operator on an appropriate Banach space. Along the way, we’ll find interesting interpretations of things like the Halting Problem as well as connections to a cool part of Dynamical Systems theory¹.

The purpose of this post is to provide a somewhat opinionated guide to doing scientific research (mostly in machine learning) for people outside traditional research institutions. There are already several excellent guides on writing papers and how to work on research projects (see below), so I aim for it to be a complement to those that can still serve as a standalone guide. Specifically, this guide covers “basic” concepts that I’ve often seen people confused about. The last section also contains links to various tools and resources.

During the holidays I worked on a small project to make posters for a computer room in my university. Since this was essentially an exercise in artistic creativity, I thought I’d document the process of making these, as I think this is often omitted despite being (for me, at least) the most interesting part of the creative process.

Mathematics is often seen by outsiders as an austere discipline of pure reason. The goal of this post is to present an interpretation of mathematics as literal magic. More precisely, the practice of mathematics bears striking similarities (vibes) to the magical tradition known as goetia, or sorcery.