ML Workflow Layers
Shreya discusses the four layers of ML workflow tools, highlighting the challenges of making changes at different layers. Lukas explores examples of changes at the infrastructure layer, emphasizing the complexities of migration and tool integration.In this clip
From this podcast
Gradient Dissent - A Machine Learning Podcast
Operationalizing Machine Learning: Interview with Shreya Shankar
Related Questions