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 learning
Why developers shouldn’t fear linear algebra or calculus
How to teach complex ideas in simple, visual ways
The biggest myths about “the math behind the magic”
What every software engineer should know about gradients, eigenvalues, and probability
How tools like ChatGPT can support math education
And 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.dev
Tune in and enjoy!
