Algorithms inside of algorithms: Getting to fair

video-placeholder
Loading...
강의 계획표 보기

배우게 될 기술

machine learning fairness, Ethics, data bias

검토

4.8개(72개 평가)

  • 5 stars
    83.33%
  • 4 stars
    13.88%
  • 3 stars
    2.77%

RU

2022년 4월 19일

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

SY

2021년 3월 30일

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

수업에서

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?

강사:

  • Placeholder

    Brent Summers

    Developer and Teacher

Coursera 카탈로그 살펴보기

무료로 참여해 맞춤화된 추천, 업데이트 및 제안을 받아보세요.