Implementing MLOps in the Enterprise - A Production-First Approach

Yaron Haviv, Noah Gift

Key Insights from the Book:

  1. MLOps, or Machine Learning Operations, is a practice for collaboration and communication between data scientists and operations professionals to help manage production ML lifecycle.
  2. The book emphasizes a Production-First Approach, which involves thinking about the end goal - production, from the very beginning of the ML project.
  3. Model Management is a vital aspect of MLOps, which includes versioning, packaging, validation, and distribution of models.
  4. The book details the Continuous Integration and Continuous Deployment (CI/CD) pipelines for ML models, which is essential for effective MLOps.
  5. The book also covers monitoring and governance in the...

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Head of Data & AI, Eneco Energy Trade