Uncertainty Quantification in Metacognition
Offered By: Neuro Symbolic via YouTube
Course Description
Overview
Explore uncertainty quantification in metacognition through a 28-minute conference talk by Gavin Strunk, lead research engineer from SSCI. Gain insights into SSCI's work on metacognition under DARPA-funded efforts. Delve into the intersection of symbolic methods and deep learning, examining how uncertainty quantification plays a role in metacognitive AI systems. Learn about the latest algorithms, Python packages, and progress towards artificial general intelligence (AGI) in this presentation from the Neuro Symbolic Channel, which features content originally from the AI course taught at Arizona State University.
Syllabus
Uncertainty Quantification in Metacognition (Gavin Strunk, SSCI)
Taught by
Neuro Symbolic
Related Courses
Neural Networks for Machine LearningUniversity of Toronto via Coursera 機器學習技法 (Machine Learning Techniques)
National Taiwan University via Coursera Machine Learning Capstone: An Intelligent Application with Deep Learning
University of Washington via Coursera Прикладные задачи анализа данных
Moscow Institute of Physics and Technology via Coursera Leading Ambitious Teaching and Learning
Microsoft via edX