Better Priors for Everyone - Keynote
Offered By: Probabilistic AI School via YouTube
Course Description
Overview
Explore the concept of better priors in probabilistic AI through this keynote address delivered by Arto Klami at the Nordic Probabilistic AI School (ProbAI) 2023. Delve into advanced techniques for improving prior distributions in probabilistic models, enhancing their performance and applicability across various domains. Access accompanying materials on GitHub to supplement your learning experience. The talk, expertly cut by Saeid Shamsaliei and edited by David Baumgartner, incorporates engaging sound effects to enhance the presentation. Gain valuable insights into the latest developments in probabilistic AI and their potential impact on future research and applications.
Syllabus
Keynote: "Better priors for everyone" by Arto Klami
Taught by
Probabilistic AI School
Related Courses
Statistics in MedicineStanford University via Stanford OpenEdx Introduction to Statistics: Inference
University of California, Berkeley via edX Probability - The Science of Uncertainty and Data
Massachusetts Institute of Technology via edX Statistical Inference
Johns Hopkins University via Coursera Explore Statistics with R
Karolinska Institutet via edX