Artificial Intelligence Data Fairness and Bias
About this Course
In this course, we will explore fundamental issues of fairness and bias in machine learning. As predictive models begin making important decisions, from college admission to loan decisions, it becomes paramount to keep models from making unfair predictions. From human bias to dataset awareness, we will explore many aspects of building more ethical models.Created by: LearnQuest
Related Online Courses
Do you have people reporting to you that need managing? Or perhaps you want to consider a career in human resources? Or freshen up your HR knowledge?\\n\\nThis specialization provides a robust... more
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to use Google\'s Vertex AI SDK to interact with the pre-trained Image Generation AI model,... more
This Specialization is intended for both current and new product managers working in digital who want to apply a portfolio of modern practices to developing their products and teams. Through five... more
Explore the multidimensional world of Human Factors and learn the strategies behind optimizing human interactions and performance. In this specialization, you will dive into the field of human... more
GitHub Actions automates software workflows via YAML files triggered by repository events, schedules, or manual inputs. This intensive course offers a comprehensive understanding of GitHub Actions,... more
Powered by
