OVERVIEW
Data Analytics Research Projects
A collection of research projects lead by Dr. Isaac Gang at George Mason University Volgenau School of Engineering
A collection of research projects lead by Dr. Isaac Gang at George Mason University Volgenau School of Engineering
Comprehensive guide on the application of Data Governance strategies in an organization.
Analysis the current state-of-the-art and two use-cases demonstrating bias and bias-free Machine Learning models.
Research into ML/OPS developemnt, testing, production, deployement, and team skills
Data Governance refers to the strategic planning of the organization’s management of its information assets by implementing the right business processes, policies, and structure using the appropriate technology to achieve the organization’s mission.
Data Bias as a general term defines the tendency to lean towards a certain direction either in favor of or against the given topic, person or thing. When it comes to data science, a biased dataset can be classified as one that doesn’t represent a model’s use case fully and therefore produces results that are skewed or inaccurate and includes analytical errors
ML/OPS aspects such as Deployment, Development, Production, Testing, and Teams Skills.
Dr. Isaac Gang
Associate Professor
Dr. James Baldo
Associate Professor
Yaser Alabdulbaqi
PhD Student
Copyright © 2021 - Dr. Isaac Gang