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Machine Learning Systems Design

Project description

머신러닝시스템 2024

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Machine Learning Systems Design

이 수업은 실제 운영 환경에서 기계 학습 시스템의 설계, 구현 및 관리에 대한 실질적인 측면을 다룹니다. 본 과정은 학생들에게 기계 학습 워크플로를 기존 소프트웨어 개발 및 운영 프로세스와 원활하게 통합하는 데 필요한 기술을 제공합니다. 이 과정에서는 DevOps, MLOps 및 보안 관행을 강조합니다. 학생들은 실습 프로젝트를 통해 dot 파일, git, Docker, Kubernetes, CI/CD 파이프라인, Weights & Biases 등 첨단 도구와 방법론을 사용하여 강력한 기계 학습 모델을 구축, 배포하고 유지 관리합니다. 또한, 이 과정은 학생들에게 GitOps, DevSecOps 및 LLMOps의 새로운 분야를 소개하여 실제 기계 학습 애플리케이션의 복잡성에 대비합니다.

Installation

To install the MLOps 2024 package, use the following command:

pip install mlops2024

Or

pip install --user mlops2024

The --user flag is optional and can be used to install the package in the user's home directory instead of the system-wide location.

Usage

To use the MLOps 2024 CLI, run the following command:

mlops2024 [OPTIONS]

If no option is provided, the website of the book will open in the default web browser.

Options

The following options are available:

  • --version: Show the version of the package and exit.
  • -b, --build: Build the book.
  • -l, --local: Open the locally built HTML version of the book in the browser.
  • --help: Show the help message and exit.

Examples

  1. To build the book, use the following command:

    mlops2024 --build
    

    This will trigger the build process for the book.

  2. To open the locally built HTML version of the book in the browser, use the following command:

    mlops2024 --local
    

    This will open the book's HTML file in your default web browser.

  3. To view the version of the package, use the following command:

    mlops2024 --version
    

    This will display the version number of the MLOps 2024 package.

For more information and additional options, run mlops2024 --help to see the help message.

Changelog

See the CHANGELOG for more information.

Contributing

Contributions are welcome! Please see the contributing guidelines for more information.

License

This project is released under the CC-BY-4.0 License.

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