Model Serving Architecture

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Получаемые навыки

TensorFlow Serving, Model Monitoring, Model Registries, Machine Learning Operations (MLOps), Generate Data Protection Regulation (GDPR)

Рецензии

4.6 (оценок: 237)

  • 5 stars
    71,72 %
  • 4 stars
    20,25 %
  • 3 stars
    3,37 %
  • 2 stars
    2,53 %
  • 1 star
    2,10 %

WH

10 сент. 2021 г.

The most practical course for junior MLOPs engineers looking for the best productionization methodologie, and the tools that implement them.

TH

18 дек. 2021 г.

Very insightful, with a good high-level explanation of challenges surrounding model usage and deployments in a production environment.

Из урока

Week 2: Model Serving: Patterns and Infrastructure

Learn how to serve models and deliver batch and real-time inference results by building scalable and reliable infrastructure

Преподаватели

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    Laurence Moroney

    Instructor

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    Robert Crowe

    Instructor

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