SE Radio 641: Catherine Nelson on Machine Learning in Data Science

For developers who build the world's most critical systems, Software Engineering Radio offers deep, substantive conversations that move beyond the hype cycle. This isn't about quick tips or news flashes; it's a dedicated audio library for career engineers seeking to solidify their foundational knowledge and explore advanced concepts. Each episode is crafted as an enduring resource, featuring either a comprehensive tutorial breaking down a specific technology or methodology, or a detailed interview with a leading practitioner shaping the field. You'll hear focused discussions on everything from low-level systems architecture and programming language design to team dynamics and project management, all through the lens of professional software creation. The content is exclusively produced for this podcast, ensuring thoughtful, in-depth analysis you won't find simply repackaged from conference talks. If your work demands a rigorous understanding of the craft, this is the podcast for you.