در حال حاضر محصولی در سبد خرید شما وجود ندارد.
The Google Professional Machine Learning Engineer certification lets prospective employers know that you have the knowledge 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 sixth and final course in the series, Noah Gift covers monitoring, optimizing, and maintaining ML solutions. Noah starts with the key topic of data drift and its impact on model performance. He provides demos to ML solutions like auditing, logging, cloud web security scanners, and more. Noah also explains the “five whys” method of problem solving and why it’s an effective approach to debugging.
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.
کورس یادگیری Microsoft Azure Data Engineering (DP-203) : طراحی و پیاده سازی Data Storage
AWS Certified Data Analytics – Specialty (DAS-C01) Cert Prep: 1 Collection
AWS Certified Data Analytics – Specialty (DAS-C01) Cert Prep: 2 Storage and Data Management
AWS Certified Security – Specialty (SCS-C02) Cert Prep: 6 Management and Security Governance
Google Cloud Professional Cloud Architect Cert Prep: 5 Managing Implementation
Google Cloud Professional Data Engineer Cert Prep: 4 Ensuring Solution Quality
Azure Data Engineer Associate (DP-203) Cert Prep: 4 Monitor and Optimize Data Storage and Data Processing
یادگیری مباحث دیتا و هوش مصنوعی
یادگیری سریع مبانی آژور AZ-900
جلو بردن عملیات یادگیری ماشینی ( MLOPs ) بوسیله MLRun