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.

  1. Best articles get published on Analytics Vidhya’s Blog Space
  2. Best articles get published on Analytics Vidhya’s Blog Space
  3. Best articles get published on Analytics Vidhya’s Blog Space
  4. Best articles get published on Analytics Vidhya’s Blog Space
  5. Best articles get published on Analytics Vidhya’s Blog Space

Who is this DataHour for?

  1. Best articles get published on Analytics Vidhya’s Blog Space
  2. Best articles get published on Analytics Vidhya’s Blog Space
  3. Best articles get published on Analytics Vidhya’s Blog Space

About the Speaker

Tibor Mach

Tibor Mach

ML Solutions Engineer at Iterative.ai

Tibor is a Machine Learning Solutions Engineer at Iterative.ai He has been working in ML and MLOps in the past 6 years. Tibor has a Ph.D in mathematics from the University of Göttingen and had published papers in the field of probability theory prior to refocusing to ML.

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