Скачать или смотреть How MLOps Works | Complete Architecture & Workflow Explained

Want to streamline your Machine Learning workflows? In this video, we break down the MLOps architecture from problem definition to model deployment. Learn how data ingestion, transformation, feature engineering, and CI/CD work together to scale ML models seamlessly. Whether you're a data scientist or MLOps engineer, this guide will help you build robust ML pipelines.

🚀Fundamentals of MLOps: https://kode.wiki/4hQzoMI


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⬇️Below are the topics we are going to discuss in this MLOps Video:
00:00 - Introduction to MLOps Architecture
04:10 - MLOps Engineer Roles and Responsibilities

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