Overview
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Explore the Azure Machine Learning Service in this introductory video, focusing on its role in scaling, automating, deploying, and monitoring the machine learning pipeline. Learn about the service's integration with the data science process, its key features, and how it can elevate your data science workflow. Discover the basics of containers, the importance of the Azure ML Service workspace, and the deployment workflow. Address common machine learning challenges and gain insights into how this service can streamline your data science projects.
Syllabus
Intro
Where Are We Going?
Not To Be Confused With...
Its all about the Data Science Process
What is the Azure Machine Learning Service?
What Are Containers?
Why Use the Azure Machine Learning Service?
The Machine Learning Pipeline
Machine Learning Model Development
Features
The Azure Machine Learning Service Workspace
Azure Machine Learning Service Workflow
Deployment Workflow
Machine Learning Challenges
Review
Taught by
Bryan Cafferky