Markov Chain Monte Carlo Courses and Certifications

Simons Institute

Sampling Crash Course

Explore geometric methods in optimization and sampling, covering direct methods, Markov chain Monte Carlo, and probabilistic approaches for efficient algorithm design and analysis.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Online Course

International Mathematical Union

Enhancing Markov Chain Monte Carlo Sampling Methods with Deep Learning

Explore advanced techniques combining Markov Chain Monte Carlo sampling with deep learning, focusing on importance sampling, normalizing flows, and non-equilibrium methods for enhanced efficiency in high-dimensional problems.

• YouTube
• 46 minutes
• On-Demand
• Free Online Course

Richard McElreath

Statistical Rethinking 2023 - Markov Chain Monte Carlo

Explore Markov Chain Monte Carlo methods, from basic concepts to advanced techniques like Hamiltonian Monte Carlo, with practical applications and diagnostics for statistical modeling.

• YouTube
• 1 hour 16 minutes
• On-Demand
• Free Online Course

Richard McElreath

Statistical Rethinking - Markov Chain Monte Carlo

Explore Markov chain Monte Carlo and Hamiltonian Monte Carlo methods, including practical implementation in Stan and diagnostic techniques for statistical modeling.

• YouTube
• 1 hour 19 minutes
• On-Demand
• Free Online Course

Alan Turing Institute

Stratification for Markov Chain Monte Carlo

Explore advanced Markov Chain Monte Carlo techniques, focusing on stratification methods for complex systems modeling and statistical inference in various scientific domains.

• YouTube
• 39 minutes
• On-Demand
• Free Online Course

Probabilistic Graphical Models 2: Inference

483 ratings at Coursera

Explore probabilistic inference in graphical models, covering exact and approximate algorithms for conditional probability queries and MAP inference, with hands-on programming assignments.

• Coursera
• 38 hours
• On-Demand
• Free Online Course (Audit)

Mathematical understanding of uncertainty

Explore probability theory, universal principles, and Markov chains to understand and harness uncertainty in real-world applications, from statistics to deep learning algorithms.

• edX
• 12 weeks, 1-2 hours a week
• On-Demand
• Free Online Course (Audit)

University of Tübingen

Probabilistic Machine Learning

Comprehensive lecture series on probabilistic machine learning, covering Bayesian paradigms, statistical concepts, and deep learning connections for master's-level computer science students.

• YouTube
• 1 day 16 hours
• On-Demand
• Free Online Course

Ox educ

Bayesian Statistics - A Comprehensive Course

Comprehensive introduction to Bayesian statistics, covering key concepts, probability distributions, and practical applications with minimal mathematical complexity.

• YouTube
• 6 hours
• On-Demand
• Free Online Course

Fields Institute

MCMC Training of Bayesian Neural Networks

Explore Bayesian Neural Networks, MCMC methods, and their applications in machine learning with Prof. Radford Neal. Gain insights into flexible modeling and practical implementations.

• YouTube
• 1 hour 9 minutes
• On-Demand
• Free Online Course

Statistical Rethinking 2023

Comprehensive exploration of advanced statistical concepts, from basic models to complex techniques like Gaussian Processes and Generalized Linear Models, enhancing analytical skills for data interpretation.

• YouTube
• 1 day 1 hour 41 minutes
• On-Demand
• Free Online Course