699: The Modern Data Stack, with Harry Glaser
Super Data Science: ML & AI Podcast with Jon Krohn
00:00
Effective Version Control and Model Deployment for Data Scientists
The chapter delves into the benefits of stubbing for version control, emphasizing managing models and code separately for efficient versioning. It discusses the importance of load balancing, logging, and continuous integration/continuous deployment (CI/CD) for model deployment, stressing the significance of automating processes like testing and deployment using tools like GitHub. The conversation also touches on integrating machine learning models into company code processes, deploying models with ModelBit, and utilizing platforms like Snowflake for logging inputs and outputs and detecting model drift.
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