The Algorithm That Made Modern AI Possible

Hi all, feeling good about this video as it is something I have been wanting to make for a long time. This can be seen as part 2 in my statistics series. Let me know what you want to see next! Newsletter on Substack: https://substack.com/@stringsandtheory? 🎥 Videos mentioned Bayesian statistics:    • How to Predict ANYTHING   Discovery of GW250114:    • Why is everyone talking about this GW even...   Hawking radiation:    • Do Black Holes Have Temperature? | Hawking...   🔗 Resources for Bayesian statistics: Bayes in the sky by R. Trotta: https://arxiv.org/pdf/0803.4089 Statistical methods of cosmology by Licia Verde: https://arxiv.org/pdf/0911.3105 Favorite books at the moment (amazon affiliate link): ⚫️Black holes: https://amzn.to/4hTfgdm 💻Machine learning: https://amzn.to/4gFRnVQ Gear: 🎙️Microphone (it’s amazing!): https://amzn.to/3Z9wpsr Ko-fi: https://ko-fi.com/stringsandtheory If you want to support me and my work then consider buying me a "☕️" via Ko-fi and I'll be forever grateful :) Business/sponsorship inquires✉️: [[email protected]](mailto:[email protected]) Sub count📈: 3428 (Never thought I would reach a 100 subscribers...) TIMESTAMPS: 0:00 -0:28 - Introduction 0:29 - 1:21 - Monte Carlo estimate of pi 1:22 - 2:32 - Markov Chains in action 2:33 - 4:20 - Bayesian inference 4:21 - 6:50 - Metropolis Hastings algorithm 6:51 - 7:52 - What do we do with the samples? 7:53 - END - Closing