YoVDO

Better Priors for Everyone - Keynote

Offered By: Probabilistic AI School via YouTube

Tags

Bayesian Statistics Courses Machine Learning Courses Statistical Inference Courses Uncertainty Quantification Courses Probabilistic Programming Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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 Medicine
Stanford 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