Reflections on an epidemic video | Week 6 | 18.S191 MIT Fall 2020 | Grant Sanderson
A "directors cut" of the 3blue1brown video on simulating epidemics, aimed at those about to write their own toy epidemic models. Original video: • Simulating an epidemic For full course information, visit https://github.com/mitmath/18S191 Course website: https://computationalthinking.mit.edu... 00:00 Welcome! 00:10 Help us add time stamps or captions to this video! See the description for details. Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/JuliaCommunity/You... Interested in improving the auto generated captions? Get involved here: https://github.com/JuliaCommunity/You...

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Simulating an epidemic

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Parallel Computing on Your Own Machine | Week 8 | 18.S191 MIT Fall 2020

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Working With Images in Julia | Week 1, lecture 3 | 18.S191 MIT Fall 2020 | Grant Sanderson

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What is a Discrete Fourier Transform? | Week 14 | MIT 18.S191 Fall 2020 | Grant Sanderson

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The AI Skills Nobody is Teaching (And Everyone Needs) | AI Expert Ethan Mollick

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FerriteCon 2024 Chris Rackauckas: Extending the Julia SciML Ecosystem to a Backbone for PDEs

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Neil deGrasse Tyson & 3Blue1Brown Answer Your Cosmic Math Questions

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How To Think SO CLEARLY People Assume You're A Genius

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Grant Sanderson: 3Blue1Brown and the Beauty of Mathematics | Lex Fridman Podcast #64

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The diffusion equation | Week 12 | MIT 18.S191 Fall 2020 | Grant Sanderson

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6. Monte Carlo Simulation

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A Nobel Laureate's Honest Review of AI In Biology

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Richard Feynman is misunderstood | Grant Sanderson and Lex Fridman

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1: Introduction to Neural Networks and Deep Learning; Training Deep NNs

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The Big Short (2015): The Jenga Scene – Explaining the Financial Collapse

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Four Ways of Thinking: Statistical, Interactive, Chaotic and Complex - David Sumpter

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Structure | Week 3 | 18.S191 MIT Fall 2020

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Terence Tao: Nobody Understands Why AI Actually Works

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Keynote: After the AI Hype – What’s Real, and What’s Next - Richard Campbell - 2026

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