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

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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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Автор

*NOTE*: You will now get the XAI course for free if you sign up (not the SHAP course)

adataodyssey
Автор

thanks for the information.
I'm woriting a research exactly on this topic. ❤

iamslrme