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Vanishing Gradients
Episode 42: Learning, Teaching, and Building in the Age of AI
Jan 4, 2025
In this discussion, Alex Andorra, host of the Learning Bayesian Statistics podcast and an expert in Bayesian stats and sports analytics, joins Hugo to explore the intersection of AI, education, and product development. They reveal how Bayesian thinking aids in overcoming challenges in AI applications and the critical importance of iteration and first principles. The conversation also highlights the influence of commercial interests on experimentation, the evolution of teaching methods in tech, and the intricate world of deploying AI with LLMs.
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Quick takeaways
- Hugo's journey illustrates the critical role of Bayesian inference in enhancing uncertainty understanding within data science applications.
- The podcast highlights the challenges in AI education, stressing the importance of adaptive learning and continuous feedback for deploying AI tools effectively.
Deep dives
Journey into AI
The speaker shares their personal journey into the field of artificial intelligence, emphasizing their foundational experiences in mathematics and science. They transitioned from pure mathematics to the application of mathematical modeling in biology, working on projects related to cell division and biophysics. An essential realization during this journey was the lack of access to computational tools for biologists, which sparked their interest in educating researchers on data tools like iPython notebooks. This experience set the stage for a career focused on helping others leverage data science and AI technologies in practical applications.
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Discover
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