YoVDO

Bayesian Inference Using Probabilistic Programming

Offered By: ACM SIGPLAN via YouTube

Tags

Probabilistic Programming Courses Data Analysis Courses Machine Learning Courses Statistical Modeling Courses Bayesian Inference Courses Stochastic Processes Courses Markov Chain Monte Carlo Courses Uncertainty Quantification Courses Computational Statistics Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore Bayesian inference and probabilistic programming in this comprehensive conference talk delivered by Hong Ge at LAFI'24. Delve into advanced statistical techniques and learn how to apply probabilistic programming concepts to solve complex inference problems. Gain insights into the latest developments in this field and discover practical applications of Bayesian methods in various domains.

Syllabus

[LAFI'24] Hong Ge: Bayesian inference using probabilistic programming


Taught by

ACM SIGPLAN

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent