Chapter 7Model Validation and Deployment

THE COMPTIA DATAX EXAM OBJECTIVES COVERED IN THIS CHAPTER INCLUDE:

  • Domain 2: Modeling, Analysis, and Outcomes
    • 2.4 Given a scenario, conduct a model design iteration process.
    • 2.5 Given a scenario, analyze results of experiments and testing to justify final model recommendations and selection.
    • 2.6 Given a scenario, translate results and communicate via appropriate methods and mediums.
  • Domain 4: Operations and Processes
    • 4.6 Explain the importance of DevOps and MLOps principles in data science.
    • 4.7 Compare and contrast various deployment environments.

Model validation is a critical stage in the data science lifecycle, focusing on evaluating a model's performance to ensure it aligns with design ...

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