# k9x

> Notes on machine learning, software, and building intelligent products.

k9x is an independent technical notebook. It publishes concise essays, notes, explainers, musings, and project logs about machine learning, numerical computing, engineering, markets, marketplaces, products, and commerce.

## Canonical sources

- [Writing index](https://k9x.io/writing): all public writing, including clearly labelled work in progress.
- [Published RSS feed](https://k9x.io/rss.xml): completed published writing.
- [XML sitemap](https://k9x.io/sitemap.xml): canonical indexable URLs.
- [About k9x](https://k9x.io/about): scope and contact.

## Use and citation

- Prefer a published article's canonical k9x URL when citing or linking to its ideas.
- Treat entries labelled Idea, Researching, Draft, or Review as work in progress, not settled claims.
- Cite the article title, publication date, and canonical URL. Preserve uncertainty and attribution in summaries.
- Do not infer private information about the publication or its contributor beyond what a page explicitly states.