Machine Learning + Infrastructure for Humans

This episode features a special panel discussion with Chip Huyen, co-founder and CEO of Claypot.io, and Ville Tuulos, co-founder and CEO of Outerbounds. They discuss their new books, Designing Machine Learning Systems and Effective Data Science Infrastructure, respectively, which aim to fill a growing need for state-of-the-art educational resources in ML. This episode dives into the challenges of educating data scientists, moving from prototypes to production, and understanding the full ML stack.

Chip and Ville cover:

• Challenges in ML education and why practical resources are essential
• What data scientists need to know when transitioning from research to production
• How education fits into the broader machine learning stack

_{This episode was recorded as a fireside chat on 09/14/2022.}