Monte Carlo: The Physics Method Behind the Atomic Bomb and Machine Learning
In this video, Dr. Ardavan (Ahmad) Borzou will discuss the concepts of Monte Carlo and Markov Chain Monte Carlo methods, illustrate their usages, and how they are related to diffusion in physics, the backbone of most advanced image generators like DELL-E and Imagen.
Need help for your data science or math modeling project?
https://compu-flair.com/solution/
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Comprehensive Python Checklist (machine learning and more advanced libraries will be covered on a different page):
๐ https://compu-flair.com/blogs/programming-basics
Chapters:
00:00 - Introduction: the birth of the Monte Carlo method
01:56 - How do you find the percentage of jellybeans in a jar?
03:02 - Monte Carlo method to estimate the area of a shape
04:49 - Disadvantages of Monte Carlo
05:25 - Markov Chain Monte Carlo
06:27 - Diffusion in Physics is a Markov chain
08:46 - Relation with Gen AI Image generators like DALL-E
09:05 - How does Markov Chain Monte Carlo work?
10:09 - Example: Use MCMC to estimate probability distribution
12:43 - A few questions to think about
14:44 - Hands-on workshop
In this video, Dr. Ardavan (Ahmad) Borzou will discuss the concepts of Monte Carlo and Markov Chain Monte Carlo methods, illustrate their usages, and how they are related to diffusion in physics, the backbone of most advanced image generators like DELL-E and Imagen.
Need help for your data science or math modeling project?
https://compu-flair.com/solution/
๐ Join the CompuFlair Community! ๐
๐ Sign up on our website to access exclusive Data Science Roadmap pages โ a step-by-step guide to mastering the essential skills for a successful career.
๐ชAs a member, youโll receive emails on expert-engineered ChatGPT prompts to boost your data science tasks, be notified of our private problem-solving sessions, and get early access to news and updates.
๐ https://compu-flair.com/user/register
Comprehensive Python Checklist (machine learning and more advanced libraries will be covered on a different page):
๐ https://compu-flair.com/blogs/programming-basics
Chapters:
00:00 – Introduction: the birth of the Monte Carlo method
01:56 – How do you find the percentage of jellybeans in a jar?
03:02 – Monte Carlo method to estimate the area of a shape
04:49 – Disadvantages of Monte Carlo
05:25 – Markov Chain Monte Carlo
06:27 – Diffusion in Physics is a Markov chain
08:46 – Relation with Gen AI Image generators like DALL-E
09:05 – How does Markov Chain Monte Carlo work?
10:09 – Example: Use MCMC to estimate probability distribution
12:43 – A few questions to think about
14:44 – Hands-on workshop
