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Learning from Unreliable Labels via Crowdsourcing

Offered By: IEEE Signal Processing Society via YouTube

Tags

Crowdsourcing Courses Data Science Courses Machine Learning Courses Signal Processing Courses Graph Theory Courses

Course Description

Overview

Explore the challenges and solutions of learning from unreliable labels through crowdsourcing in this 1-hour 8-minute webinar presented by Panagiotis A. Traganitis (MSU) and Georgios B. Giannakis (UMN). Gain insights into the Data sciEnce on GrAphS (DEGAS) Webinar Series, organized in conjunction with the IEEE Signal Processing Society Data Science Initiative. Discover techniques for improving data quality and reliability in crowdsourced datasets, and learn how to leverage these methods to enhance machine learning models and algorithms.

Syllabus

Learning from Unreliable Labels via Crowdsourcing


Taught by

IEEE Signal Processing Society

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