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Probabilistic Programming Tutorial - Part 2

Offered By: Neurosymbolic Programming for Science via YouTube

Tags

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

Course Description

Overview

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Dive into the second part of a comprehensive probabilistic programming tutorial led by Vikash Mansinghka from MIT. Explore advanced concepts and techniques in this field over the course of 1 hour and 11 minutes. Gain valuable insights from an expert in neurosymbolic programming for science as you deepen your understanding of probabilistic programming principles and applications.

Syllabus

Probabilistic Programming Tutorial Part 2


Taught by

Neurosymbolic Programming for Science

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