ML Case Studies

2020-07-02

Preface

This book is the result of a student projects for Case Studies course at the Warsaw University of Technology. Each team prepared an article on one of the topics selected from reproducibility, imputation, and interpretability.

This project is inspired by a book Limitations of Interpretable Machine Learning Methods created at the Department of Statistics, LMU Munich XAI Stories. Case studies for eXplainable Artificial Intelligence done at the Warsaw University of Technology and at the University of Warsaw. We used the LIML project as the cornerstone for this repository.

The cover created by Anna Kozak.

Creative Commons License

This book is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.