Algorithms inside of algorithms: Getting to fair

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Destrezas que aprenderás

machine learning fairness, Ethics, data bias

Reseñas

4.8 (77 calificaciones)

  • 5 stars
    83,11 %
  • 4 stars
    14,28 %
  • 3 stars
    2,59 %

RU

19 de abr. de 2022

Really great discussion of algorithms and how their designs make them susceptible to bias.

SY

30 de mar. de 2021

A relatively short and interesting course on data fairness and bias impacting AI models.

De la lección

Building fair models: theory and practice

This week we will take action against unfairness. Now that we have an understanding of fairness issues, how do we build models that do not violate them?

Impartido por:

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    Brent Summers

    Developer and Teacher

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