Monte Carlo Methods Courses and Certifications

Institute for Pure & Applied Mathematics (IPAM)

Introduction to Classical and Quantum Monte Carlo Methods for Many-Body Systems

Explore classical and quantum Monte Carlo methods for many-body systems, including Metropolis algorithms, Feynman's path integral formalism, and projector Monte Carlo techniques for fermion systems.

• YouTube
• 1 hour 8 minutes
• On-Demand
• Free Video

International Centre for Theoretical Sciences

Mean-Field Games Stochastic Differential Mean-Field Games by Kavita Ramanan

Explore stochastic differential mean-field games in this advanced lecture, delving into mathematical models for large-scale strategic interactions and their applications in various complex systems.

• YouTube
• 56 minutes
• On-Demand
• Free Video

International Centre for Theoretical Sciences

Modified Logarithmic Sobolev Inequalities - Theory

Explore modified logarithmic Sobolev inequalities in this theoretical lecture by Prasad Tetali, part of a program on advances in applied probability covering high-dimensional computation and limit theorems.

• YouTube
• 1 hour
• On-Demand
• Free Video

Applied Algebraic Topology Network

Exchanging Replicas with Unequal Cost, Infinitely and Permanently

Innovative replica exchange method for parallel simulations with varying computational costs, enhancing efficiency in Monte Carlo algorithms and path sampling techniques.

• YouTube
• 36 minutes
• On-Demand
• Free Video

International Centre for Theoretical Sciences

The Power of Sampling by Peter W. Glynn

Explore sampling methods in statistics, computation, and engineering. Learn about their history, applications, and advantages in overcoming dimensional challenges and creating scalable algorithms.

• YouTube
• 1 hour 29 minutes
• On-Demand
• Free Video

Codeynamics

Integration by Monte Carlo Method Using Python in Jupyter Notebook

Explore Monte Carlo integration using Python in Jupyter Notebook. Learn to apply this powerful numerical technique for solving complex integrals.

• YouTube
• 11 minutes
• On-Demand
• Free Video

Probabilistic AI School

Monte Carlo Methods

Explore Monte Carlo methods for probabilistic AI, covering key concepts and applications in this comprehensive tutorial from ProbAI 2024.

• YouTube
• 2 hours 26 minutes
• On-Demand
• Free Video

Prof. Ryan C. Cooper

Monte Carlo Methods for NYSE Stock Predictions - ME3255

Explore Monte Carlo methods for predicting NYSE stock movements. Learn statistical techniques to analyze market trends and make informed investment decisions.

• YouTube
• 23 minutes
• On-Demand
• Free Video

Prof. Ryan C. Cooper

ME3255 - Quantitative Descriptions on Monte Carlo Models

Explore Monte Carlo models through quantitative descriptions, enhancing understanding of statistical simulation techniques and their applications in engineering and science.

• YouTube
• 25 minutes
• On-Demand
• Free Video

Prof. Ryan C. Cooper

ME3255 - Moore's Law and Monte Carlo Methods

Explore Moore's law and Monte Carlo methods in computational mechanics, gaining insights into technological advancements and simulation techniques for engineering applications.

• YouTube
• 34 minutes
• On-Demand
• Free Video

Prof. Ryan C. Cooper

ME3255 - Building Moore's Prediction and Using Monte Carlo Buckling Analysis

Explore Moore's prediction and Monte Carlo buckling analysis techniques for advanced engineering applications. Enhance structural design skills.

• YouTube
• 28 minutes
• On-Demand
• Free Video

Prof. Ryan C. Cooper

Monte Carlo Models for Pi Calculation and Buckling Structures - Lecture

Explore Monte Carlo methods for estimating pi and analyzing structural buckling, covering random number generation and statistical analysis techniques.

• YouTube
• 30 minutes
• On-Demand
• Free Video

Centrum Fizyki Teoretycznej PAN

A Monte Carlo Method for Stationary Solutions of General-Relativistic Vlasov Systems

Delve into Monte Carlo methods for solving general-relativistic Vlasov equations, exploring particle trajectory analysis and applications in black hole accretion models.

• YouTube
• 1 hour 11 minutes
• On-Demand
• Free Video

University of Alberta;  Alberta Machine Intelligence Institute

Sample-based Learning Methods

42 reviews

Explore sample-based learning methods in reinforcement learning, including Monte Carlo, temporal difference, and Dyna. Learn to estimate value functions, implement algorithms, and improve sample efficiency.

• Coursera
• 22 hours 16 minutes
• On-Demand
• Free Online Course (Audit)

Nvidia Deep Learning Institute;  Unity Microcredential

Deep Reinforcement Learning

356 ratings at Udacity

Master deep reinforcement learning techniques to train AI agents for navigation, financial trading, and multi-agent systems. Implement classical and modern RL algorithms using PyTorch.

• Udacity
• 4 months 4 days 16 hours
• On-Demand
• Paid Course