Overview
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Explore Gaussian Processes in this comprehensive 2-hour and 22-minute lecture by Daniel Hernández-Lobato, presented at the Nordic Probabilistic AI School (ProbAI) 2024. Delve into the fundamental concepts and applications of Gaussian Processes in machine learning and probabilistic modeling. Access supplementary materials on GitHub to enhance your understanding of the topic. The lecture features professional editing by David Baumgartner and includes piano sound effects for an engaging learning experience. Gain valuable insights into this powerful probabilistic modeling technique and its relevance in the field of artificial intelligence.
Syllabus
Gaussian Processes by Daniel Hernández-Lobato
Taught by
Probabilistic AI School