Designing and mantaining AI/ML models that help data subjects, are explainable, are not biased, and are compliant.
Sub Category
- Data Science
{inAds}
Objectives
- Most problems with AI/ML models or their data, as well as how to address them
- How to identify and mitigate ethical risks from AI/ML models, as well as comply with regulation
- What is XAI (explainable AI), as well as the most common explanation elements and popular frameworks
- Relevant regulation that impacts AI models, and how
Pre Requisites
- Have a basic knowledge of AI and ML
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
{inAds}
Coupon Code(s)