Skip to content

Comment on Distill: a modern machine learning journalparent

Comments

Yes. Everything is published under Creative Commons Attribution.

(One of the members of our steering committee, Michael Nielsen, has a significant history advocating for open science. I think there's about a snowball's chance in hell he'd be involved if we weren't. :P )

It's not super clear what if any license is offered for code and data, eg from http://distill.pub/2016/misread-tsne/

Diagrams and text are licensed under Creative Commons Attribution CC-BY 2.0, unless noted otherwise, with the source available on GitHub. The figures that have been reused from other sources don’t fall under this license and can be recognized by a note in their caption: “Figure from …”.

Ideally code and data would be unambiguously public domain (CC0-1.0) or under appropriate open source and open data licenses.

Everything is published under Creative Commons Attribution.

this is tres bien.

same for data sets?

That would preclude most research data.

If you use Wikipedia as an input, for example, your data is CC-By-SA, not CC-By.

AboutSource Built by g1lg1l

Hackerly is an independent reader for Hacker News, built on the public HN API. Not affiliated with Y Combinator.