📚 eXplainable Machine Learning 📚

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.io and the documentation at book.xmlx.io/docs.

General information about our organisation can be found at xmlx.io. Our resources are hosted on GitHub under the xmlx-io organisation.

📖 Book

The interactive Jupyter Book version of our XML book can be accessed at book.xmlx.io. 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.

📝 Documentation

The MkDocs documentation of our XML book can be accessed at book.xmlx.io/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.