# A Decision Tree for Practitioners Needing Uncertainty Quantification for Their Deep Learning Project

Welcome to the documentation for the UQ Decision Tree paper.

## Overview

This paper provides a practical decision tree to guide machine learning practitioners in selecting appropriate uncertainty quantification (UQ) methods for their deep learning projects.

```{toctree}
---
maxdepth: 2
caption: Contents
---
introduction
methodology
decision-tree
case-studies
conclusions
references
```

## Quick Links

- [Introduction](introduction.md)
- [Methodology](methodology.md)
- [Decision Tree](decision-tree.md)
- [Case Studies](case-studies.md)
- [Conclusions](conclusions.md)

## Indices and tables

- {ref}`genindex`
- {ref}`search`