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.
About this Course
Skills you will gain
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- 5 stars69.56%
- 4 stars26.08%
- 3 stars4.34%
TOP REVIEWS FROM ARTIFICIAL INTELLIGENCE PRIVACY AND CONVENIENCE
The concepts were easier to grasp and a nice introduction into the complexities around algorithmic models and building ethical practices from the outset.
This course provides practical steps to protect privacy.
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
Extraordinary course! I've really enjoyed it and learned so much. Classes are very clear and concise. Thank you so much!
About the Ethics in the Age of AI Specialization
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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