Modern Education & Large Language Models (LLM...

🔗 Connect with Seth DeLand on LinkedIn: https://www.linkedin.com/in/seth-deland/In this episode, we sit down with Seth DeLand, Product Manager for Generative AI at MathWorks, to explore how agentic AI is transforming engineering workflows in 2026 and beyond.We discuss the evolut ...  Show more

🔗 Connect with Christian on LinkedIn: https://www.linkedin.com/in/christian-bauernfeind-b42532304/In this episode, we sit with Christian Bauernfeind, Head of Test Department at ABM, as he shares how ABM’s test department combines test benches and simulation to develop more effic ...  Show more

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Mathematics essential for machine learning includes linear algebra, statistics, and calculus, each serving distinct purposes: linear algebra handles data representation and computation, statistics underpins the algorithms and evaluation, and calculus enables the optimiza ...

Want to learn about AI and machine learning? There are plenty of resources out there to help — blogs, podcasts, YouTube tutorials — perhaps too many. Machine learning engineer Santiago Valdarrama has taken a far more focused approach to helping us all get smarter about the field. ...  Show more

Sabrina is a Commercial Software Engineer and serial hacker who has attended over 32 hackathons! She was also a guest lecturer at the University of Toronto on Machine Learning and Artificial Intelligence. Today she sits down and gets Scott (and you!) started with the basics of ...

Gilbert Strang is a professor of mathematics at MIT and perhaps one of the most famous and impactful teachers of math in the world. His MIT OpenCourseWare lectures on linear algebra have been viewed millions of times. This conversation is part of the Artificial Intelligence podca ...  Show more