인공 지능 데이터 공정성 및 편향

인공 지능 데이터 공정성 및 편향


Gain insight into a topic and learn the fundamentals

Brent Summers

Instructor: Brent Summers

Beginner level
No prior experience required
6 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace

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9 quizzes

Taught in Korean

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There are 3 modules in this course

강의에 오신 여러분, 환영합니다! 1주 차에는 머신 러닝의 맥락에서 공정성이 무엇을 의미하는지, 여러 시나리오에서의 참 패리티가 무엇을 의미하는지 이야기합니다.

What's included

5 videos2 readings3 quizzes2 discussion prompts

이번 주에는 불공정에 맞서볼 겁니다. 공정성 문제를 이해했으니, 공정성을 위반하지 않는 모델을 구축하는 방법을 알아봅시다.

What's included

5 videos2 readings3 quizzes1 discussion prompt

이번 주에는 데이터 수집 및 속성 선택 과정에서 일어나는 편향 중 인간에서 비롯된 편향을 알아보겠습니다. 목표는 모델을 구축하기 전에 편향을 제거하는 겁니다.

What's included

5 videos2 readings3 quizzes1 discussion prompt


Brent Summers
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