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Title: GitHub - Kibria2017/fairness_tutorial: Hands-on tutorial on ML Fairness

Open Graph Title: GitHub - Kibria2017/fairness_tutorial: Hands-on tutorial on ML Fairness

X Title: GitHub - Kibria2017/fairness_tutorial: Hands-on tutorial on ML Fairness

Description: Hands-on tutorial on ML Fairness. Contribute to Kibria2017/fairness_tutorial development by creating an account on GitHub.

Open Graph Description: Hands-on tutorial on ML Fairness. Contribute to Kibria2017/fairness_tutorial development by creating an account on GitHub.

X Description: Hands-on tutorial on ML Fairness. Contribute to Kibria2017/fairness_tutorial development by creating an account on GitHub.

Opengraph URL: https://github.com/Kibria2017/fairness_tutorial

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Dealing with Bias and Fairness in Data Science Systems: A Practical Hands-on Tutorialhttps://dssg.github.io/fairness_tutorial/
https://patch-diff.githubusercontent.com/Kibria2017/fairness_tutorial#dealing-with-bias-and-fairness-in-data-science-systems-a-practical-hands-on-tutorial
Github repohttps://github.com/dssg/fairness_tutorial/tree/1.1
Videohttps://youtu.be/HwdDQWelPy0?t=190
web pagehttps://dssg.github.io/fairness_tutorial/aaai2021.md
Github repohttps://github.com/dssg/fairness_tutorial/tree/1.0
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web pagehttps://dssg.github.io/fairness_tutorial/kdd2020.md
https://patch-diff.githubusercontent.com/Kibria2017/fairness_tutorial#presenters
Rayid Ghanihttp://www.rayidghani.com
https://patch-diff.githubusercontent.com/Kibria2017/fairness_tutorial#why-this-tutorial
https://patch-diff.githubusercontent.com/Kibria2017/fairness_tutorial#what-will-we-cover
Aequitas toolkithttp://github.com/dssg/aequitas
https://patch-diff.githubusercontent.com/Kibria2017/fairness_tutorial#pre-requisites
https://patch-diff.githubusercontent.com/Kibria2017/fairness_tutorial#schedule-and-structure
Recorded Video from previous tutorialhttps://youtu.be/HwdDQWelPy0
Google Slideshttps://docs.google.com/presentation/d/1ycNhDJr5uQiBhWvdlNArnv7ojydW73qryOjRBB30Z44/edit#slide=id.p
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Case Study 1: Making bank loan denial decisions based on risk of not paying back in timehttps://docs.google.com/document/d/16adKrjC8vLKpaoj0WeFhjMEqO1wolCZp5RldZGuQ16E/edit?usp=sharing
Case Study 2: Analyzing social media data to assess damage and respond to natural disastershttps://docs.google.com/document/d/1cjzo3mhPB_Rvb5bMJqhLi4KbePMxgSXQ77M2WqdnjzQ/edit?usp=sharing
Case Study 3: Prioritizing after-school programs to improve high-school graduation outcomeshttps://docs.google.com/document/d/1fyprl7HBMsXsXYCDyEfQL3iU8Q7lCCGtO64ixKuGPJA/edit?usp=sharing
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Case Study 1: Making bank loan denial decisions based on risk of not paying back in timehttps://docs.google.com/document/d/1A3aLz4Hk1HAaXcNORj5whQ2CAMum7ozZ8JWasA_QGR8/edit?usp=sharing
Case Study 2: Analyzing social media data to assess damage and respond to natural disastershttps://docs.google.com/document/d/1K5cw3EkA2O4DrbckC0KpZBjIadU221tlYnu0UFGDln0/edit?usp=sharing
Case Study 3: Prioritizing after-school programns to improve high-school graduation outcomeshttps://docs.google.com/document/d/1f9-gcpwkZPRBP5pEXYOfHdvBAddfCaF_lQosE5owg-k/edit?usp=sharing
Aequitas, an open source bias and fairness audit toolhttp://www.datasciencepublicpolicy.org/projects/aequitas/
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https://patch-diff.githubusercontent.com/Kibria2017/fairness_tutorial#resources
Aequitashttp://www.datasciencepublicpolicy.org/projects/aequitas/
draft book chapterhttps://textbook.coleridgeinitiative.org/chap-bias.html
https://patch-diff.githubusercontent.com/Kibria2017/fairness_tutorial#references
https://patch-diff.githubusercontent.com/Kibria2017/fairness_tutorial#bias-reduction-papers
https://patch-diff.githubusercontent.com/Kibria2017/fairness_tutorial#post-modeling-correction-papers
https://patch-diff.githubusercontent.com/Kibria2017/fairness_tutorial#case-studies
https://patch-diff.githubusercontent.com/Kibria2017/fairness_tutorial#acknowledgements
dssg.github.io/fairness_tutorial/https://dssg.github.io/fairness_tutorial/
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