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.
- 5 stars71.42%
- 4 stars24.48%
- 3 stars4.08%
来自ARTIFICIAL INTELLIGENCE PRIVACY AND CONVENIENCE的热门评论
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.