The content is well-organized and the instructor does a great job with the delivery. It's a really good high-level course, but doesn't sacrifice some of the details which are particular to how AI can synthesize data. Some content is a little repetitive, but not so much so that it takes away from the strength of the module.
Synthetic Data as the Future of AI Privacy, Explainability, and Fairness: An Introduction for Data Scientists and Data Executives
With Alexandra Ebert
Liked by 1,744 users
Duration: 2h 11m
Skill level: Advanced
Released: 8/31/2023
Course details
The European Commission’s JRC sees synthetic data as “the key enabler for artificial intelligence,” and analyst firm Gartner predicts that, by 2024, 60% of all AI training data will be synthetic—yet many data and AI professionals are not yet familiar with this privacy-enhancing technology. In this course, synthetic data and privacy expert Alexandra Ebert teaches you the fundamentals of AI-generated synthetic data. Learn how synthetic data can help you stay in compliance with privacy laws. Find out what AI-generated synthetic data is and go over its benefits and limitations. Explore how synthetic data can support your organization’s strategic objectives. Dive into ways to assess synthetic data’s quality and discover best practices for getting started with synthetic data and introducing it within your organization. Plus, learn about different ways synthetic data is used, particularly in the context of Responsible AI or Ethical AI.
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Contents
What’s included
- Practice while you learn 2 exercise files
- Test your knowledge 6 quizzes
- Learn on the go Access on tablet and phone
- Stay up to date Continuing Education Units
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