Epistemic Uncertainty in Artificial Intelligence

Discover the intriguing world of artificial intelligence with Epistemic Uncertainty in Artificial Intelligence by Fabio Cuzzolin. Published by Springer International Publishing AG in 2024, this insightful volume spans 113 pages and offers a deep dive into the critical aspects of epistemic AI.
This collection features eight meticulously reviewed papers selected from a competitive pool of sixteen submissions, focusing on key areas of machine learning, including unsupervised learning, supervised learning, and reinforcement learning.
Whether you are a researcher, student, or enthusiast, this book provides valuable perspectives and findings that will enhance your understanding of uncertainty in AI systems. Embrace the future of technology with this essential read!