Evolving Machine Learning Workflows
The conversation dives into the challenges of versioning Jupyter notebooks and the need for a shift towards traditional software engineering practices. Emphasizing the importance of automation and build systems, new workflows are being developed to integrate machine learning applications more effectively with source control. This evolution aims to create composable building blocks that enhance collaboration and sustainability in machine learning projects.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Compositional ML and the Future of Software Development with Dillon Erb - #520
Related Questions