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 Bayesian Statistics
Databricks via Coursera Probability via Computation - Week 4
The Julia Programming Language via YouTube On the Unreasonable Effectiveness of Compressive Imaging - Ben Adcock, Simon Fraser University
Alan Turing Institute via YouTube The Mother of All Representer Theorems for Inverse Problems and Machine Learning - Michael Unser
Alan Turing Institute via YouTube Affine Spline Insights into Deep Learning - Richard Baraniuk, Rice University
Alan Turing Institute via YouTube