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.
Este curso faz parte do Programa de cursos integrados Ethics in the Age of AI
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Certificados compartilháveis
Tenha o certificado após a conclusão
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Comece imediatamente e aprenda em seu próprio cronograma.
Curso 1 de 4 no
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível iniciante
Aprox. 8 horas para completar
Inglês
Legendas: Árabe, Francês, Portuguese (European), Italiano, Vietnamita, Alemão, Russo, Inglês, Espanhol
Habilidades que você terá
Understanding of algorithmsFamiliarity with predictive modelsOverview of ethics considersations
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Curso 1 de 4 no
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível iniciante
Aprox. 8 horas para completar
Inglês
Legendas: Árabe, Francês, Portuguese (European), Italiano, Vietnamita, Alemão, Russo, Inglês, Espanhol
oferecido por
LearnQuest
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.
Programa - O que você aprenderá com este curso
2 horas para concluir
Getting Started: Algorithms
Welcome to the course! We're going to get started with an overview of the course structure as well as an introductory look at the world of algorithms
2 horas para concluir
5 vídeos (Total 29 mín.), 2 leituras, 3 testes
2 horas para concluir
AI and Model Outcomes
This week, we are going to dive into predictive modeling the core differences in theory and practice
2 horas para concluir
3 vídeos (Total 19 mín.), 2 leituras, 3 testes
2 horas para concluir
Rules for AI: training and constraints
This week we are going to focus on machine learning accuracy and training guidelines in the quest for more accurate and ethical models
2 horas para concluir
3 vídeos (Total 17 mín.), 2 leituras, 3 testes
2 horas para concluir
Ethical AI: Cause and Effect
In our final week, we're going to ask some big questions about where all this predictive intelligence leads. We will discuss the trajectory of artificial intelligence and the broader implications for society as well
2 horas para concluir
4 vídeos (Total 26 mín.), 2 leituras, 3 testes
Avaliações
Principais avaliações do ARTIFICIAL INTELLIGENCE ALGORITHMS MODELS AND LIMITATIONS
por SM26 de Jan de 2021
I learned more about AI and machine learning more than i have ever been exposed to my entire life, the lessons were thorough .
por JM31 de Out de 2020
Very broad concepts but still engaging and thought provoking. This course focuses more on AI ethics rather than algorithms.
por GL16 de Out de 2020
the course was great which me a proper understanding about how AI think and what are the consequences of AI
por AV7 de Jan de 2021
Amazing course! I've learnt so much! Thank you for providing such extraordinary material.
Sobre Programa de cursos integrados Ethics in the Age of AI
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.
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