Microsoft Azure - 机器学习全流程平台搭建 - 创建workspace 到 模型训练详解

本文详细介绍了如何在Microsoft Azure平台上搭建机器学习全流程。从创建workspace,上传数据,到新建实验并选择模型进行训练和评估,每个步骤都有清晰的操作指南,帮助读者掌握Azure上的机器学习工作流程。

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创建workspace

  1. 在登录进 Azure portal 以后,点击All services. 在All sevices 后面的搜索栏输入Log Analytics. 选择 Log Analytics.
    crate

  2. 点击常见,选择你想要设置关于workspace的各种属性

  3. 点击OK 完成创建。

上传数据

Azure 提供了需要sample data 和 实例模型,可以对Azure提供的数据做一些自己喜欢的操作。
如果你需要上传自己的数据。
1. 在最左边的工具栏里,选择 Datasets
Dataset
2. 在最左下方,点击 +NEW
NEW
3. 点击 从本地文件 from local file
上传
4. 选择你需要的文件,编辑dataset的名字

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