Hello Quantum Enthusiast,
We're back for our monthly series: Influential Mathematicians in Quantum. Where we spotlight remarkable minds who have shaped the mathematical landscape of Quantum Mechanics. In our previous podcast episode, we explored the life and ground-breaking work of the Polish genius Stefan Banach (listen here).
Today, we will cover the work of a new brilliant mind, The Hungarian Frigyes Riesz.
This short podcast is part of a special trial where we convert content from our ebooklets into bite-sized audio experiences. Our goal is to provide a different experience by making the story of brilliant minds like Riesz more lively.
The ebooklet about Riesz is available for download here.
Join us in this interesting experiment of using AI-generated audio to blend the richness of our ebooklets with the convenience of podcasts!
**Important note: The AI-generated podcast contains some minor historical and technical inaccuracies. However, for the most part, it is accurate and highly engaging.
Many thanks,
QF team
Advanced Linear Algebra for Machine Learning
Many online linear algebra courses for machine learning focus predominantly on computational techniques i.e. teaching students how to perform calculations but often neglecting essential skills such as proof-writing and abstract mathematical reasoning. However, developing the ability to write proofs and understand abstract mathematical constructions is equally crucial. These skills, combined with computational know-how, equip ML practitioners with a profound understanding of algorithmic principles, enhancing their ability to analyse the foundations of existing algorithms and contribute to the development of new ones.
That’s why Quantum Formalism Academy is launching a hybrid course: self-paced with live tutorials starting this Sunday! Check out the curricula and broachure via quantumformalism.academy/advanced-linear-algebra-for-ml.
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