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White Paper—Optimize Machine Learning Through MLOps with Dell Technologies and cnvrg.io
Introduction Revision history The challenges of implementing machine learning cnvrg.io for MLOps The Dell Validated Designs for AI Conclusion
Optimizing machine learning through MLOps
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Terminology
References

Terminology

Terminology

  • The following table provides definitions for some of the terms that are used in this document.

    Table 1.      Terminology

    Term

    Definition

    ML

    Machine learning—A methodology that applies algorithms that can be automatically improved through experience and training with data

    AI

    Artificial intelligence—A system that perceives its environment and acts based on the machine intelligence (system-based) rather than natural intelligence (human- or animal-based)

    DL

    Deep learning—The stringing together of multiple algorithms across layers to create an artificial neural network that is designed to learn and make intelligent decisions on its own

    MLOps

    Machine learning + [IT] operations—A methodology that applies DevOps principles to ML environments

    DevOps

    [Application] development + [IT] operations—A set of practices in which application development and IT operations are combined into cohesive unified processes to provide continuous development and delivery pipelines that can iterate and improve systems more quickly and reliably