We live in an age increasingly dominated by algorithms. As machine learning models begin making important decisions based on massive datasets, we need to be aware of their limitations in the real world. Whether it's making loan decisions or re-routing traffic, machine learning models need to accurately reflect our shared values. In this course, we will explore the rise of algorithms, from the most basic to the fully-autonomous, and discuss how to make them more ethically sound.
이 강좌에 대하여
귀하가 습득할 기술
LearnQuest is the preferred training partner to the world’s leading companies, organizations, and government agencies. Our team boasts 20+ years of experience designing, developing and delivering a full suite industry-leading technology education classes and training solutions across the globe. Our trainers, equipped with expert industry experience and an unparalleled commitment to quality, facilitate classes that are offered in various delivery formats so our clients can obtain the training they need when and where they need it.
- 5 stars79.83%
- 4 stars14.51%
- 3 stars3.22%
- 2 stars0.80%
- 1 star1.61%
ARTIFICIAL INTELLIGENCE ALGORITHMS MODELS AND LIMITATIONS의 최상위 리뷰
there must be some practical approaches where different algorithms , methodologies are used and working , advantages and disadvantages
Just like business leaders should learn about business ethics, so should machine learning specialists learn about the ethical dimensions of their output.
Its an excellent course, even for a beginner its very helpful and very much informative!
Interesting and short course on basics of AI models and limitations
Ethics in the Age of AI 특화 과정 정보
As machine learning models begin making important decisions based on massive datasets, we need to be aware of their limitations. In this specialization, we will explore the rise of algorithms, fundamental issues of fairness and bias in machine learning, and basic concepts involved in security and privacy of machine learning projects. We'll finish with a study of 3 projects that will allow you to put your new skills into action.
자주 묻는 질문
강의 및 과제를 언제 이용할 수 있게 되나요?
이 전문 분야를 구독하면 무엇을 이용할 수 있나요?
재정 지원을 받을 수 있나요?
궁금한 점이 더 있으신가요? 학습자 도움말 센터를 방문해 보세요.