AIMP 03: Mathematics Made Simple: Talking ML with Tivadar Danka

Welcome to another episode of the AI Master Podcast! I’m your host, Dariusz Kalbarczyk — co-founder of NG Poland, JS Poland, AI Poland, and AngularMaster.dev.Today’s guest is someone who’s making the math behind machine learning accessible to everyone — straight from Hungary, please welcome Tivadar Danka: mathematician, educator, and author of the hit book Mathematics of Machine Learning.In this episode, we talk about:How Tivadar transitioned from pure math to machine learningWhy developers shouldn’t fear linear algebra or calculusHow to teach complex ideas in simple, visual waysThe biggest myths about “the math behind the magic”What every software engineer should know about gradients, eigenvalues, and probabilityHow tools like ChatGPT can support math educationAnd what Tivadar’s working on next — maybe a course or a new visual edition?If you’ve ever felt intimidated by the math in AI, this conversation will inspire you, simplify concepts, and show that anyone can understand the foundations of machine learning.🔗 Explore all our shows — including Angular Master, JavaScript Master, and AI Master — at kalbarczyk.devTune in and enjoy!

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