In this course, we will explore fundamental concepts involved in security and privacy of machine learning projects. Diving into the ethics behind these decisions, we will explore how to protect users from privacy violations while creating useful predictive models. We will also ask big questions about how businesses implement algorithms and how that affects user privacy and transparency now and in the future.
Este curso faz parte do Programa de cursos integrados Ethics in the Age of AI
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Informações sobre o curso
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Experimente o Coursera for BusinessHabilidades que você terá
- Ethics
- Machine Learning
- Ethics Of Artificial Intelligence
- security
- Privacy
Sua empresa se beneficiaria do treinamento dos funcionários em habilidades sob demanda?
Experimente o Coursera for Businessoferecido por
Programa - O que você aprenderá com este curso
Privacy and convenience vs big data
Protecting Privacy: Theories and Methods
Building Transparent Models
Avaliações
- 5 stars71,42%
- 4 stars24,48%
- 3 stars4,08%
Principais avaliações do ARTIFICIAL INTELLIGENCE PRIVACY AND CONVENIENCE
A good course on balancing between privacy and aggregate results. It tells how anonymization should be done. It did not cover enough the correlations between privacy and accuracy though
The concepts were easier to grasp and a nice introduction into the complexities around algorithmic models and building ethical practices from the outset.
Extraordinary course! I've really enjoyed it and learned so much. Classes are very clear and concise. Thank you so much!
This was a very interesting eye opening Course of the Future, thank you.
Sobre Programa de cursos integrados Ethics in the Age of AI

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