در حال حاضر محصولی در سبد خرید شما وجود ندارد.
Earning the 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 fifth course in the certification prep series, instructor Noah Gift covers core concepts relating to automating and orchestrating ML pipelines. Noah explains how to design and implement training pipelines, including how to engineer prompts for Google BigQuery with ChatGPT4. Then, learn about implementing serving pipelines, as Noah explains some of the characteristics of GPU-enabled Docker containers, gives a Rust PyTorch microservice walkthrough, and demos a Rust pre-trained PyTorch microservice.
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.
ساخت برنامه های خط فرمانی به زبان Python
کدنویسی دیکشنری ها در زبان Python
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Google Cloud Professional Machine Learning Engineer Cert Prep: 2 Architecting ML Solution
کورس MLOps : داکر و HuggingFace
AWS Certified Advanced Networking – Specialty (ANS-C01) Cert Prep: 4 Network Security, Compliance, and Governance
شش عنصر کلیدی MLOps
یادگیری مباحث Network and Content Delivery, Compute Storage در کلود AWS
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Google Cloud Professional Data Engineer Cert Prep: 4 Ensuring Solution Quality