Monte Carlo Methods Courses and Certifications

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

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

Hausdorff Center for Mathematics

Distributed Multilevel Sequential Monte Carlo Applied to PDE-Based Bayesian Inverse Problems

Explore distributed multilevel sequential Monte Carlo methods for solving Bayesian inverse problems in PDE-based models with optimized computational resource allocation.

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

Institute for Pure & Applied Mathematics (IPAM)

Subspace Langevin Monte Carlo

Explore Subspace Langevin Monte Carlo (SLMC), a novel sampling method for high-dimensional distributions that extends subspace descent techniques from Euclidean to Wasserstein space, generalizing coordinate and preconditioned approaches.

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

Wolfram

LSMC Valuation of Life Insurance Contracts with Surrender Options

Explore the valuation of life insurance surrender options through least-squares Monte Carlo methods, with practical implementation in Mathematica.

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

echohive

Monte Carlo Simulations Explained

Discover how Monte Carlo simulations work through practical examples and learn to apply probabilistic modeling techniques for complex problem-solving scenarios.

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

Nvidia Deep Learning Institute;  Unity Microcredential

Deep Reinforcement Learning

357 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
• 83 hours
• On-Demand
• Paid Course

Reinforcement Learning with Gymnasium in Python

Start your reinforcement learning journey! Learn how agents can learn to solve environments through interactions.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Discrete Event Simulation in Python

Discover the power of discrete-event simulation in optimizing your business processes. Learn to develop digital twins using Python's SimPy package.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

R Programming for Simulation and Monte Carlo Methods

465 ratings at Udemy

Learn to program statistical applications and Monte Carlo simulations with numerous "real-life" cases and R software.

• Udemy
• 11 hours 42 minutes
• On-Demand
• Paid Course

Dave Churchill

Intro to Artificial Intelligence - RL Monte Carlo Methods - Lecture 18

Explore Monte Carlo methods in reinforcement learning, applying algorithmic techniques to solve AI problems in gaming environments.

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

Dave Churchill

Intro to Artificial Intelligence - RL Monte Carlo Methods - Lecture 17

Explore Monte Carlo methods in reinforcement learning, applying algorithmic techniques to solve AI problems in gaming environments.

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

Dave Churchill

Introduction to Artificial Intelligence: Monte Carlo Reinforcement Learning Methods - Lecture 16

Explore Monte Carlo reinforcement learning methods, including prediction and policy iteration, with applications to Blackjack and matchbox machine learning.

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

Prof. Ryan C. Cooper

Monte Carlo Pi Methods: Technical Editing - Lecture ME3256

Enhance technical writing skills for Monte Carlo pi methods. Learn effective editing techniques to improve clarity and precision in scientific reports.

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

Kavli Institute for Theoretical Physics

Non-equilibrium Monte Carlo Methods for Confining Strings and the Critical Casimir Effect

Explore non-equilibrium Monte Carlo methods for studying confining strings and the critical Casimir effect in strongly interacting Quantum Field Theory, with applications to nuclear forces and lattice gauge theory.

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