machine learning math

The first episode of Google's Machine Learning Recipes series. It introduces machine learning and builds a first supervised-learning classifier in about six lines of Python using scikit-learn.

The first episode of Clickspring's series building a John Wilding skeleton clock from raw stock in a home machine shop. It covers making the frames along with the tools needed for the job.

Inigo Quilez shows step by step how to build a simple heart shape from mathematics and shaders, with code on Shadertoy. It is an introduction to procedural graphics and signed distance functions.

Mathologer shows a simple idea, the commutator, that lets anyone who can solve the first layer design their own full Rubik's cube solution. The same idea carries over to other symmetric twisty puzzles such as the Megaminx.

Mitchell Hashimoto walks through his setup for running a NixOS virtual machine on a Mac as his development environment, with a config repo on GitHub.

Blender Guru's beginner tutorial series, in which you model, light, texture and render a donut while learning Blender's core features. This is Part 1 of the Blender 3.0 version.

A short first episode in Zaiste's Doom Emacs series, showing how to get started with Doom, an Emacs configuration aimed at Vim users. It presents Doom as a polished, fast, batteries-included distribution.

The first episode of Mike Zamansky's Using Emacs series, covering setting up the package manager for new Emacs users as a start toward customization and efficient editing.

A screencast showing how to use the fzf command-line fuzzy finder in the shell and in Vim. It covers searching files and also using the Vim plugin for help tags, buffers, lines and grep matches.

Wim Hof guides viewers step by step through his breathing method, with some explanation of the science he cites behind it. It stresses learning from the source and avoiding unsafe settings.