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https://github.com/hbaniecki/courses-iml-xai

Courses related to interpretable machine learning & explainable AI
https://github.com/hbaniecki/courses-iml-xai

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Courses related to interpretable machine learning & explainable AI

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# courses-iml-xai

Open-access university courses and teaching materials concerning interpretable machine learning (IML) & explainable artificial intelligence (XAI)

| course / material | people | institutions |
|---|---|---|
| [Interpretable Machine Learning](https://slds-lmu.github.io/iml) | [Bernd Bischl](https://www.slds.stat.uni-muenchen.de/people/bischl/), [Marius Lindauer](https://www.ai.uni-hannover.de/de/institut/team/lindauer), [Marvin Wright](https://www.bips-institut.de/en/contact/staff/research-fellow.html?MAid=1110), [Giuseppe Casalicchio](https://www.slds.stat.uni-muenchen.de/people/casalicchio/) et al. | LMU Munich, Leibniz University Hannover, University of Bremen |
| [Explainable Artificial Intelligence: From Simple Predictors to Complex Generative Models](https://interpretable-ml-class.github.io/) | [Hima Lakkaraju](https://himalakkaraju.github.io/), [Jiaqi Ma](https://jiaqima.github.io/), [Suraj Srinivas](https://suraj-srinivas.github.io/) | Harvard University |
| [CSEP 590B Explainable AI](https://sites.google.com/cs.washington.edu/csep590b) | [Su-In Lee](https://suinlee.cs.washington.edu/), [Ian Covert](https://iancovert.com), [Hugh Chen](http://hughchen.github.io/), [Chris Lin](https://chrisdlin.github.io/) | University of Washington |
| [The Hitchhiker’s Guide to Responsible Machine Learning: with code snippets in Python and R](https://rml.mi2.ai/) | [Przemyslaw Biecek](https://www.mi2.ai/index.html) et al. | Warsaw University of Technology |