Cite this Work#

DOI

This book is licensed under the MIT license, but we appreciate a mention!

You can see the contributions to this book in the Github contributor graph and see contributions to events, workshops and talks in the section event section.

You can cite ML.recipes through the Zenodo project archive: https://doi.org/10.5281/zenodo.10381234

The Github page can create citations for you which look something like this for APA:

Dramsch, J. S., & Maggio, V. (2022). ML Recipes – Increase citations, ease review & foster collaboration (Version PyData-Global-2022) [Computer software]. JesperDramsch/ml-for-science-reproducibility-tutorial

Please visit the Github repo and the Zenodo archive for the most up-to-date reference!