YoVDO

Probabilistic Modeling and Programming Tutorial - Lecture 1

Offered By: Probabilistic AI School via YouTube

Tags

Probabilistic Programming Courses Machine Learning Courses Statistical Modeling Courses Bayesian Inference Courses Markov Chain Monte Carlo Courses Uncertainty Quantification Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Dive into the world of probabilistic modeling and programming with this comprehensive tutorial presented by Andrés R. Masegosa and Thomas D. Nielsen at the Nordic Probabilistic AI School (ProbAI) 2023. Explore key concepts and techniques over the course of 1 hour and 48 minutes, gaining valuable insights into this crucial area of artificial intelligence. Access supplementary materials on GitHub to enhance your learning experience. Benefit from the expertise of these renowned instructors as they guide you through the intricacies of probabilistic AI, providing a solid foundation for further exploration in the field.

Syllabus

Probabilistic Modeling and Programming Tutorial by Andrés R. Masegosa and Thomas D. Nielsen


Taught by

Probabilistic AI School

Related Courses

Statistical Rethinking
Max Planck Institute for Evolutionary Anthropology via YouTube Introducción a las bases del lenguaje R, con RStudio
Udemy Bayesian Networks 1 - Inference - Stanford CS221: AI
Stanford University via YouTube The Hamiltonian Monte Carlo Revolution Is Open Source - Probabilistic Programming with PyMC3
Open Data Science via YouTube Computational Models of Cognition - Reverse-Engineering Common Sense in the Human Mind and Brain Pt 1
MITCBMM via YouTube