#36 - Essential Math for AI, Data Science and Data Engineering with Hala Nelson

🎙️ Who is Hala Nelson?
Hala is an Associate Professor at the Department of Mathematics and Statistics at James Madison University, and author of the book Essential Math for AI with O’REILLY Media. Hala have an amazing journey from partial differential equations to interdisciplinary applications, bridging the gap between academia and the real world in AI, and the importance of building a strong data foundation for effective decision-making in AI and data fields.

💡 In this episode...
... we discuss the importance of bridging the gap between academia and the real world in AI, building strong data foundations for effective decision-making, and connecting math and AI through an unbiased lens. We also cover the role of programming in infrastructure and data organization, the future of prompt engineering and language models, and the key qualities for successful data scientists. Lastly, Hala emphasizes clear communication, an ethical approach, and hands-on experience with real-world data for successful AI and data science projects.

Hala Nelson: https://www.linkedin.com/in/hala-nelson/
Thomas Bustos: https://www.linkedin.com/in/thomasbustos/

Artistic Direction & Video: Maxence Kerhoas

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