در حال حاضر محصولی در سبد خرید شما وجود ندارد.
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.
Google Cloud Professional Cloud Architect Cert Prep: 2 Managing and Provisioning a Solution Infrastructure
کار با توابع Google Cloud
مقایسه Github Actions با AWS Code Build
چشم انداز یا دید کامپیوتری
AWS Certified Data Analytics – Specialty (DAS-C01) Cert Prep: 5 Security
بسته بندی MLOPs : یادگیری کامل HuggingFace و همچنین Azure Container Registry
AWS Certified Data Analytics – Specialty (DAS-C01) Cert Prep: 4 Analysis and Visualization
Google Cloud Professional Data Engineer Cert Prep: 3 Operationalizing Machine Learning Models
AWS Certified Data Analytics – Specialty (DAS-C01) Cert Prep: 3 Processing
Azure Data Engineer Associate (DP-203) Cert Prep: 1 Design and Implement Data Storage