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
In this specialization, you will learn the major functions that must be performed by a battery management system, how lithium-ion battery cells work and how to model their behaviors mathematically,... more
In this course, learners will get familiarized with the major components of wetland delineation, including the steps involved and the resources available for remote identification. They will... more
In this capstone project course, you will learn to support your students in successfully completing the Advanced Placement Principles Create Task -- however this task can be useful for any course... more
Javascript for Beginners: Primitive Data Types In this 1-hour long project-based course on Javascript Fundamentals: Primitive data types, you will write your own Javascript code to better... more
This Specialization will teach you to optimize website content for the best possible search engine ranking. You\'ll learn the theory behind Google search and other search engine algorithms; you\'ll... more
Powered by
