The CI/CD Approach to ML Pipeline Management

The CI/CD Approach to ML Pipeline Management

How to leverage CI/CD pipelines to become more agile, increase precision, and ship more ML models faster.

Join Product Manager Misha Kutsovsky in a technical exploration of how a CI/CD approach can streamline machine learning model development.Misha will cover emerging best practices related to reproducibility, determinism, flexibility, and 1-click deployments.Misha will also cover the importance of measuring time to market and model velocity when orchestrating a machine learning pipeline in the cloud.

Key takeaways

  • Learn about best practices related to reproducibility, determinism, and other important topics
  • Streamline and automate your workflow with Gradient MLOps
  • Leverage a multi-cloud approach with minimal setup

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