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https://github.com/numfocus/algorithm-ethics
Guidelines for Ethical Modeling
Contents
This repository contains a collection of materials designed to assist in the creation of ethical algorithms and machine learning models. Initial work was done as part of the Diversity and Inclusion Unconference at PyData NYC 2017.
- Ethical Machine Learning Tool - How can you create ethical machine learning projects?
- Data Science Ethics - Why is ethical data science important?
- Further Reading - Supporting materials and resources.
Contributing Authors
from dive-into-machine-learning.
Related Issues (20)
- section on timeseries DBs and tsfresh (automated feature extraction)
- add link to 'Dive into Deep Learning' HOT 1
- replace creative.ai like with CADL link
- pandas docs should point to latest
- braindump HOT 8
- Add link to Hands-On ML by @ageron HOT 2
- Add link to notebook collections by @trekhleb HOT 2
- Add links to ines/spacy-course, exposion/thinc, spaCy NLP workflows
- add link that is pretty exciting - labmlai/annotated_deep_learning_paper_implementations HOT 1
- braindump re: IDE, editors - setup/config, notes on Jupyter plugins or integrations
- I would like to better emphasize MLOps, but without overwhelming beginners HOT 3
- add links to Lj Miranda's "Navigating the ML Ops Tooling Landscape" and Jupyter-tooling landscape posts. HOT 1
- add link to "How to share data with a statistician" HOT 1
- Chore: Automate broken link checking in the doc.
- Update the section about places to share work HOT 1
- add link to OSSU/data-science
- Datasette HOT 1
- Add link to Dan Nguyen's journalism-syllabi repository HOT 3
- Off
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