Introduction to the "Machine Learning Yearning" Chinese Project
The "Machine Learning Yearning" Chinese project provides an easily accessible online draft of the book "机器学习训练秘籍" (Machine Learning Yearning) for enthusiasts who are keen to explore insights into machine learning. The project is designed to offer a sneak peek into the book's content, noting that the version available is a draft, and thus, not the final rendition. Historical versions of the book can be found under the releases section on the project's GitHub page.
Collaborate to Improve Translation Quality
The translation is a collaborative effort, and the team is open to feedback for improving the accuracy and quality of the translation. Readers who spot translation issues can contribute through several methods:
- Discussion in Issues Section: Interested individuals can create new discussions under the project's Issues section on GitHub, which is the recommended method.
- Direct Edits and Pull Requests: By clicking on "Improve this page" on the website, anyone can make changes and submit a pull request with their suggestions.
- Email Feedback: Feedback can also be sent via email. Contributors are encouraged to include “MLY Translation” in the subject line for context.
It’s important to note that images are stored in the img directory and cannot be previewed locally. The format for embedding images in the manuscript is exemplified for clarity.
Copyright and Licensing
This project adheres to the "Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)" license. This license allows users to share and adapt the material under the following conditions:
- Attribution: Proper credit must be given, with a link to the license, and any changes made should be indicated. Attribution should not suggest any endorsement by the original creators.
- Non-Commercial: The material cannot be used for commercial purposes.
- ShareAlike: If the material is altered or built upon, the resulting work must be distributed under the same license as the original.
- No Additional Restrictions: No further restrictions should be applied that limit others from doing anything permitted by the license.
By following these guidelines, contributors can freely use, share, and adapt the content, contributing to the open and collaborative spirit of the project.