Introduction to Algorithm Fairness | Causes, Measuring & Preventing Unfairness in Machine Learning

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.
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*NOTE*: You will now get the XAI course for free if you sign up (not the SHAP course)
SHAP course: adataodyssey.com/courses/shap...
XAI course: adataodyssey.com/courses/xai-...
Newsletter signup: mailchi.mp/40909011987b/signup
🚀 Companion Article (no-paywall link): 🚀
towardsdatascience.com/what-i...
🚀Other articles you may find useful 🚀
Reasons for Unfairness: towardsdatascience.com/algori...
Measuring Fairness: towardsdatascience.com/analys...
Correcting Unfairness: towardsdatascience.com/approa...
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Mastodon: sigmoid.social/@conorosully
Website: adataodyssey.com/

[@adataodyssey]

*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