Curated video material on machine learning and AI.
This section holds curated video material that complements the written machine-learning and AI reference pages on this site. Videos are good at building intuition — watching a gradient descent animation or a transformer attention walkthrough makes the idea click in a way a formula often does not — while the written pages are better for exact definitions, runnable code and comparisons you can scan quickly.
Each collection is a grid of YouTube thumbnails. Clicking a thumbnail swaps it for an embedded player in place, so you can watch without leaving the page. Collections are grouped by topic rather than by channel, and videos are chosen for clarity and technical accuracy rather than view count. Introductory lectures sit alongside deeper talks, so the same collection can serve a first pass and a refresher.
The most effective pattern is a short loop: watch a video for the intuition, read the matching reference page for the precise version, run the example code, then check that your output matches what the page predicts. If a result surprises you, go back to the video or the page and find the step you misread. Passive watching alone rarely sticks; pairing it with code makes the concepts usable.
| Need | Better format | Why |
|---|---|---|
| First exposure to a concept | Video | Animation and narration show the moving parts |
| Exact formula or API signature | Written page | Searchable, copyable, quick to scan |
| Comparing several methods | Written page | Tables put the trade-offs side by side |
| Seeing an expert reason through a problem | Video | You hear the decisions, not only the result |
The written material these videos support lives in Machine Learning (paradigms, frameworks, forecasting, recommenders) and in the AI section for language models, retrieval-augmented generation and agents. Start from those landing pages to find the reference page that matches the video you just watched.