This is an intermediate project on creating clustering models in Azure Machine Learning Studio. Familiarity with any Web Browser and navigating Windows Desktop is assumed. Some background knowledge on Machine Learning or Cloud computing is beneficial but not required to complete this project. Understanding how platform services in the cloud work and how machine learning algorithms function would be of great help in understanding better what we are executing in this guided project. Some minimal data engineering and data scientist knowledge is required.
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您将学到什么
Create an Azure Machine Learning Workspace using the Azure Portal
Develop a Clustering Model in Azure ML Designer
Publish the model for application use
您将练习的技能
要了解的详细信息

添加到您的领英档案
仅桌面可用
了解顶级公司的员工如何掌握热门技能

在 2 小时内学习、练习并应用岗位必备技能
- 接受行业专家的培训
- 获得解决实训工作任务的实践经验
- 使用最新的工具和技术来建立信心

关于此指导项目
分步进行学习
在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:
Create a free trial account in Microsoft Azure and log into Azure using your new subscription.
Create a Resource Group in preparation for creating a new Azure Machine Learning Workspace.
Create an Azure Machine Learning Workspace to manage artifacts related to your machine learning workloads.
Create compute targets on which to run the training process.
Create a dataset and explore data.
Create a pipeline in Azure Machine Learning Designer.
Apply data transformations to cluster observations.
Add training modules and apply a clustering algorithm.
Run the training pipeline to train the model.
Evaluate the clustering model by using the Evaluate Model module.
Create an inference pipeline to assign new data observations.
Publish the predictive service for application use.
推荐体验
Some background data engineering/science knowledge is required. Understanding how cloud platform services work would be beneficial, but not required.
12个项目图片
位教师

提供方
学习方式
基于技能的实践学习
通过完成与工作相关的任务来练习新技能。
专家指导
使用独特的并排界面,按照预先录制的专家视频操作。
无需下载或安装
在预配置的云工作空间中访问所需的工具和资源。
仅在台式计算机上可用
此指导项目专为具有可靠互联网连接的笔记本电脑或台式计算机而设计,而不是移动设备。
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