جمع جزء: 189,000 تومان
- × 1 عدد: Build a Model for Anomaly Detection in Time Series Data - 189,000 تومان
Earning the Google Cloud Professional Data Engineer certification confirms that you’re able to design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance; scalability and efficiency; reliability and fidelity; and flexibility and portability. In this course, Noah Gift prepares you for the fourth section of the exam that focuses on ensuring solution quality. Learn about designing for security and compliance; scalability and efficiency assurance; ensuring reliability and fidelity; and ensuring flexibility and portability.
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.

Essentials of MLOps with Azure: 3 Spark MLflow Projects on Databricks

مقدمه ای بر MLOps

Google Cloud Professional Machine Learning Engineer Cert Prep: 3 Designing Data Preparation and Processing Systems

Databricks Certified Data Engineer Associate Cert Prep: 2 ELT with Spark SQL and Python

ساخت پلاگین برای ادیتور Vim

بهینه سازی در آمازون وب سرویسز بوسیله AWS Step Functions

پیاده سازی MLOps بوسیله AutoML, KaizenML

AWS Certified Machine Learning – Specialty (MLS-C01) Cert Prep: 3 Modeling

Data Science : اولین روز شما

Vector, Graph, and DynamoDB
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