98-acknowledgements.Rmd

# Acknowledgements {-}

This project is inspired by seminar-book [Limitations of Interpretable Machine Learning Methods](https://compstat-lmu.github.io/iml_methods_limitations/) created at the Department of Statistics, LMU Munich. We used the LIML project as cornerstone for [XAI stories](https://pbiecek.github.io/xai_stories) and [XAI stories 2](https://pbiecek.github.io/xai_stories_2/).

This book would not have been written without openness to cooperation of two universities: University of Warsaw and University of Łódź. Students from these universities collaborated (remotely due to the Covid-19 epidemic) on their chapters.

My biggest thanks go to two people from McKinsey, who have been supporting my classes on UoW and WUT for years, inspiring it with ideas for new challenges, ideas and solutions.
[Mateusz Zawisza](https://www.linkedin.com/in/mateusz-zawisza/) and [Amadeusz Andrzejewski](https://www.linkedin.com/in/amadeusz-andrzejewski-66554bb0/), thank you very much!

*Przemysław Biecek, June 2021, Warsaw*