본 강의에서는 머신 러닝 분야에서의 보안 및 프라이버시와 관련된 기본 개념을 살펴봅니다. 그 기저에 깔린 윤리를 깊이 있게 탐구하면서, 유효한 예측 모델을 구축하는 과정에서 사용자의 프라이버시를 보호하는 방법을 알아보겠습니다. 또한 두 가지 심층 질문을 통해, 기업이 알고리즘을 구현하는 방법과 그에 따라 현재와 미래에 사용자 프라이버시 및 투명성에 영향을 미치는 방법도 모색할 것입니다.
AI 프라이버시 및 편의성
Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
6 hours to complete
Flexible schedule
Learn at your own pace
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
9 assignments
Taught in Korean
See how employees at top companies are mastering in-demand skills
There are 3 modules in this course
Instructor
Offered by
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."