The master branch of this repository holds the source of our
eXplainable Machine Learning book (Jupyter Book)
and its documentation (MkDocs) --
book and docs folders respectively.
These sources are built into a collection of static HTML documents served by
GitHub Pages from the gh-pages branch.
The book can be accessed at book.xmlx.dev
and the documentation at book.xmlx.dev/docs.
General information about our organisation can be found at xmlx.dev. Our resources are hosted on GitHub under the xmlx-dev organisation.
The interactive Jupyter Book version of our XML book can be accessed at book.xmlx.dev. It covers a broad range of eXplainable Machine Learning theory and practice, including:
- high-level overviews & introductory examples;
- mathematical foundations;
- algorithmic implementations;
- practical advice & real-life caveats; and
- success & failure case studies.
The MkDocs documentation of our XML book can be accessed at book.xmlx.dev/docs. It covers technical concepts to do with how the book is built and maintained, as well as a contributor's guide that outlines how to author new content for the book. In particular, you will find there a code of conduct, changelog, ways to contact us and acknowledgements. The documentation also includes a dedicated page describing our preferred contribution workflow and information how to set up your development environment, both for working with the book and the documentation itself.