A Data Odyssey
チャンネル登録者数 6980人
3418 回視聴 ・ 51いいね ・ 2023/08/21
An introduction to Algorithm Fairness - the field that aims at understanding and preventing unfairness in machine learning. We explore:
The causes of unfairness in models
Methods of analysing and measuring fairness in data and predictions
The ways we can correct and prevent unfairness
Take you first step towards developing just and ethical AI systems.
🚀 Free Course 🚀
*NOTE*: You will now get the XAI course for free if you sign up (not the SHAP course)
SHAP course: adataodyssey.com/courses/shap-with-python/
XAI course: adataodyssey.com/courses/xai-with-python/
Newsletter signup: mailchi.mp/40909011987b/signup
🚀 Companion Article (no-paywall link): 🚀
medium.com/data-science/what-is-algorithm-fairness…
🚀Other articles you may find useful 🚀
Reasons for Unfairness: towardsdatascience.com/algorithm-fairness-sources-…
Measuring Fairness: towardsdatascience.com/analysing-fairness-in-machi…
Correcting Unfairness: towardsdatascience.com/approaches-for-addressing-u…
🚀 Get in touch 🚀
Medium: conorosullyds.medium.com/
Twitter: twitter.com/conorosullyDS
Mastodon: sigmoid.social/@conorosully
Website: adataodyssey.com/
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関連動画
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5 Reasons for Unfair Models | Proxy Variables, Unbalanced Samples & Negative Feedback Loops
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Correcting Unfairness in Machine Learning | Pre-processing, In-processing, Post-processing
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Definitions of Fairness in Machine Learning | Equal Opportunity, Equalized Odds & Disparate Impact
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使用したサーバー: direct
コメントを取得中...
関連動画
5 Reasons for Unfair Models | Proxy Variables, Unbalanced Samples & Negative Feedback Loops
1696 回視聴
Correcting Unfairness in Machine Learning | Pre-processing, In-processing, Post-processing
1807 回視聴
Definitions of Fairness in Machine Learning | Equal Opportunity, Equalized Odds & Disparate Impact
5997 回視聴
コメントを取得中...