index.Rmd

--- 
title: "Case Studies"
author: "Faculty of Mathematics and Information Science, Warsaw University of Technology"
date: "`r Sys.Date()`"
site: bookdown::bookdown_site
documentclass: krantz
bibliography: [book.bib, packages.bib]
biblio-style: apalike
csl: class.csl
link-citations: yes
colorlinks: yes
lot: False
lof: False
description: "Case studies in machine learning."
graphics: yes
cover-image: images/cover.png
github-repo: mini-pw/2021L-WB-Book
---


```{r setup, include=FALSE}
options(
  htmltools.dir.version = FALSE, formatR.indent = 2, width = 55, digits = 4
)
output <- knitr::opts_knit$get("rmarkdown.pandoc.to")
is.html = !is.null(output) && output == "html"
```


# Preface {-}

```{r cover, cache=FALSE, out.width="500", fig.align="center", echo=FALSE, eval = is.html}
knitr::include_graphics('images/cover.png')
```





This book is the result of a student projects for [Case Studies](https://github.com/mini-pw/2021L-WarsztatyBadawcze) 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](https://compstat-lmu.github.io/iml_methods_limitations/) created at the Department of Statistics, LMU Munich [XAI Stories. Case studies for eXplainable Artificial Intelligence](https://pbiecek.github.io/xai_stories/) done at the Warsaw University of Technology and at the University of Warsaw, and [ML Case Studies](https://mini-pw.github.io/2020L-WB-Book/) during the last year's course.
We used the LIML project as the cornerstone for this repository.

The cover created by Anna Kozak.

![Creative Commons License](images/by-nc-sa.png)

This book is licensed under the [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License](http://creativecommons.org/licenses/by-nc-sa/4.0/).

\mainmatter

<!-- Technical setup -->
## Technical Setup {-}
The book chapters are written in the Markdown language.
The simulations, data examples and visualizations were created with R [@rlang] and Python.
The book was compiled with the bookdown package.
We collaborated using git and github.
For details, head over to the [book's repository](https://github.com/mini-pw/2021L-WB-Book).