Fairness In ML.pdf
hilda-fairdags.pdf
Description
Researchers propose fair-DAGs, a library to identify and mitigate bias in machine learning preprocessing pipelines by extracting a directed acyclic graph...
Technical Information
- File Format: PDF
- File Size: 513 KB
- Pages: 4
- Language: EN
- Author: Ke Yang, Biao Huang, Julia and Sebastian Schelter
- Total Downloads: 141
- Last Updated: 2 weeks ago
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This PDF document about Fairness in ML provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Fairness in ML.
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