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
Introduces to the commands that you need to manage and analyze directories, files, and large sets of genomic data. This is the fourth course in the Genomic Big Data Science Specialization from... more
Are you ready to excel as a remote leader? Enhance your leadership skills with the Remote Leadership for Managers specialization, designed to equip you with the tools to lead a successful,... more
This Specialization is intended for machine learning researchers and practitioners who are seeking to develop practical skills in the popular deep learning framework TensorFlow.\\n\\nThe first... more
This Specialization is intended for anyone looking to take control of their finances. Through these five courses, you will cover a variety of personal finance topics, including budgets, investing,... more
This specialization is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering,... more