DataHour: ML Model Deployment: Best MLOps and GitOps Practices
DataHour: ML Model Deployment: Best MLOps and GitOps Practices
21 Feb 202412:02pm - 21 Feb 202413:02pm
DataHour: ML Model Deployment: Best MLOps and GitOps Practices
About the Event
It takes a lot of effort to move from training ML models in an educational environment like Google Collab to actually running them in production in a way which is maintainable and scalable. There are also a lot of obstacles and pitfalls on the way that one can avoid with best practices. In the talk, we will have a look at how to set up an end to end MLOps pipeline to productionize your models and to keep them reproducible and traceable. Our pipeline will be based on GitOps best practices applied to MLOps with the help of DVC - an MLOps-focused Python library from Iterative.ai.
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
Who is this DataHour for?
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
About the Speaker
Participate in discussion
Registration Details
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