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.
This is the first course in the Google Professional Machine Learning Engineer certification prep series and covers framing machine learning problems. Instructor Noah Gift shows you how to translate business challenges into ML use cases, defines common ML problems and business success criteria, and identifies risks to feasibility of 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.
تسلط بر مفاهیم اصلی در توابع پایتون
Google Cloud Professional Machine Learning Engineer Cert Prep: 4 Developing ML Models
AWS Certified Data Analytics – Specialty (DAS-C01) Cert Prep: 3 Processing
AWS Solutions Architect Professional (SAP-C02) Cert Prep: 2 Design for New Solutions
AWS Solutions Architect Professional (SAP-C02) Cert Prep: 2 Design for New Solutions
AWS Certified Security – Specialty (SCS-C02) Cert Prep: 6 Management and Security Governance
Google Cloud Professional Machine Learning Engineer Cert Prep: 5 Automating and Orchestrating ML Pipelines
از منطق تا کد پایتون یا FastAPI Microservice
دوره تست برنامه های پایتون بوسیله Pytest
AWS Certified Security – Specialty (SCS-C02) Cert Prep: 1 Threat Detection and Incident Response