Главная
Study mode:
on
1
Intro
2
Where Are We Going?
3
Not To Be Confused With...
4
Its all about the Data Science Process
5
What is the Azure Machine Learning Service?
6
What Are Containers?
7
Why Use the Azure Machine Learning Service?
8
The Machine Learning Pipeline
9
Machine Learning Model Development
10
Features
11
The Azure Machine Learning Service Workspace
12
Azure Machine Learning Service Workflow
13
Deployment Workflow
14
Machine Learning Challenges
15
Review
Description:
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.

The Azure Machine Learning Service - Introduction

Bryan Cafferky
Add to list
0:00 / 0:00