YoVDO

Probabilistic Programming Tutorial - Part 1

Offered By: Neurosymbolic Programming for Science via YouTube

Tags

Probabilistic Programming Courses Machine Learning Courses Statistical Modeling Courses Bayesian Inference Courses Markov Chain Monte Carlo Courses Uncertainty Quantification Courses Generative Models Courses Computational Statistics Courses Neurosymbolic Programming Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the fundamentals of probabilistic programming in this comprehensive tutorial presented by Vikash Mansinghka from MIT. Delve into the core concepts and techniques of this powerful approach to modeling uncertainty and reasoning about complex systems. Gain insights into how probabilistic programming combines elements of statistics, computer science, and artificial intelligence to solve challenging problems in various scientific domains. Learn from an expert in the field as you begin your journey into the world of probabilistic programming, setting the foundation for more advanced applications and research.

Syllabus

Probabilistic Programming Tutorial Part 1


Taught by

Neurosymbolic Programming for Science

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