Training AI with Humans
Coursera
24 Courses
Johns Hopkins University is a globally recognized research university comprising 9 schools and campuses worldwide. It provides more than 260 degree programs, ranging from undergraduate to graduate and postdoctoral studies.
Overview
In the course "Training AI with Humans," you'll explore the intersection of machine learning and human collaboration, focusing on enhancing AI performance through effective data annotation and crowdsourcing. You will gain a comprehensive understanding of machine learning principles and performance metrics while developing practical skills in using platforms like Amazon Mechanical Turk (AMT) for crowdsourced tasks.
This unique approach combines theoretical knowledge with hands-on experience, allowing you to implement Inter-Annotator Agreement (IAA) techniques to ensure high-quality annotated data. By completing this course, you will be well-equipped to design and conduct impactful crowdsourcing studies, improving AI models in real-world applications such as healthcare and research.
Whether you're aiming to enhance your skills in machine learning, optimize data collection processes, or understand the ethical implications of crowdsourcing, this course offers invaluable insights and tools.
University: Johns Hopkins University
Provider: Coursera
Categories: Artificial Intelligence Courses, Machine Learning Courses, Ethics in AI Courses, Crowdsourcing Courses
