课程: Google Cloud Professional Machine Learning Engineer Cert Prep

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Teaching MLOps at scale with GitHub

Teaching MLOps at scale with GitHub - Google Cloud Platform教程

课程: Google Cloud Professional Machine Learning Engineer Cert Prep

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Teaching MLOps at scale with GitHub

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- GitHub for teaching MLOps is critical because of four components. The first component is reproducibility. By having reproducible projects, reproducible repos, everybody in the classroom can have the exact same experience, and they can show an employer exactly what they can do, and the employer can even click on a button and run the code. Access to GPU is a critical feature for learning the latest machine learning technology. Lower income students can get access to a machine that previously was unavailable. And also the AI coding assistance allows students to use their own imagination to do software engineering. And this is really a revolutionary way to teach software and journey as well. Finally, continuous integration and continuous delivery really is the light bulb moment for students, and allows you to fully experience what it's like to get that joy of building a machine learning solution that goes into production.…

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