data modeling

Imphenzia's 83-minute tutorial covers the low poly modeling techniques he learned over five years of Blender use, with timestamps from navigation and extrusion onward. It uses Blender 2.83 with default keys.

Andrej Karpathy builds a bigram character-level language model from scratch, introducing torch.Tensor and the framework of training, sampling and loss evaluation. It is the first step toward a GPT-style Transformer in his makemore series.

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.

Markus Triska tours Prolog's most distinctive features, including its use as a database and query language, rule processing, constraint solving and compile-time rewriting. It also covers concise meta-interpreters.

A reupload of Joel Spolsky's talk teaching spreadsheet users the Excel features they are probably missing, such as keyboard navigation, named ranges, tables and lookups. The original disappeared and this copy comes from the Wayback Machine.

The first lesson of MangoJelly's FreeCAD 0.20 beginner course, covering setup, preferences and navigation. The series teaches fundamentals through complete workflows such as sketching, Part Design and STL export.

Jeremy Howard's 90-minute practical tour of language models. It covers how they work, GPT-4's capabilities and limits, using the OpenAI API, code writing, data analysis and fine-tuning.

James Trunk introduces Clojure syntax and thinking, covering its core data structures, immutability, the thread-last macro and live data analysis in the REPL.