/lecture_iml

Primary LanguageJupyter NotebookCreative Commons Attribution 4.0 InternationalCC-BY-4.0

Interpretable Machine Learning (IML)

Course Website Slide Check

This Project offers a free, open source introductory and an overview of interpretable machine learning methods.

Contents, License, Team and Further Info

Please see the main course site.

Help is appreciated and welcome!

We hope to continously improve and expand this course over the coming years. We strongly believe in open source and collaborative work. Please contact us if you think likewise and would like to contribute. See also our contributing guidelines

  • Are you a lecturer and like the course, but have some feedback or consider extending it? Open an issue and we can discuss your proposal.
  • Are you a student taking the lecture and you spotted a typo, think we should rephrase something be or even would like to provide a new quiz question or coding example? Please consider providing a pull request. Opening an issue with suggested improvements is obviously very welcome as well!
  • You are none of the above but would like to contribute, get in touch / open issues / create pull requests! We are happy about any help.

License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

We would appreciate if you contact us in case you are re-using our course. Knowing this helps us to keep the project alive. Thank you!