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Earning a Google Professional Machine Learning Engineer certification demonstrates your ability to design, build, and productionize machine learning models to solve business challenges using Google Cloud technologies, and knowledge of proven ML models and techniques.
In this second course in the certification prep series, instructor Noah Gift covers topics relating to architecting machine learning solutions. He shows you how to design reliable, scalable, and highly-available ML solutions, covering topics like continuous delivery, reproducible workflow, and continuous integration. Noah then explains how to choose the appropriate Google Cloud hardware components for your ML solutions.
در این روش نیاز به افزودن محصول به سبد خرید و تکمیل اطلاعات نیست و شما پس از وارد کردن ایمیل خود و طی کردن مراحل پرداخت لینک های دریافت محصولات را در ایمیل خود دریافت خواهید کرد.
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انجام ادغام CI/CD از طریق خط فرمان
کورس MLOps : داکر و HuggingFace
Essentials of MLOps with Azure: 3 Spark MLflow Projects on Databricks
Google Cloud Professional Cloud Architect Cert Prep: 2 Managing and Provisioning a Solution Infrastructure
Data Science : اولین روز شما
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