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What is CI/CD in machine learning and software development
CI/CD is an automated development practice that streamlines code integration, testing, and deployment processes. In machine learning, it extends beyond code to include data validation, model training,
deployment, and monitoring, supported by various specialized tools and platforms.

Reasons to Read -- Learn:

  • how CI/CD pipelines can reduce development time and improve reliability by automating the entire process from code integration to deployment, with specific examples of implementation steps and tools.
  • how CI/CD specifically applies to machine learning projects, including automated data validation, model training, packaging, and monitoring, with practical examples like using Docker containers for deployment and MLflow for model validation.
  • comprehensive ecosystem of CI/CD tools, including how to use specific platforms like Jenkins, GitHub Actions, Docker, and Kubernetes to build robust deployment pipelines.
    • publisher: @heaththapa
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