Summary总结

Congratulations! You have completed this module. At this point in the course, you know:
恭喜！您已完成本模块。此时，您在课程中已经知道：

• Watson Studio is a helpful tool for:
  Watson Studio 是一个有用的工具，用于：
  • Analyzing and viewing data
    分析和查看数据
  • Cleaning and shaping data
    清理和塑造数据
  • Embedding data into streams
    将数据嵌入到流中
  • Creating, training, and deploying
    创建、训练和部署
• Learning Watson Studio promotes career growth.
  学习 Watson Studio 有助于职业发展。
• Learning Watson Studio is easy and requires no special skills.
  学习 Watson Studio 很简单，不需要特殊技能。
• Watson Studio offers many available resources.
  Watson Studio 提供了许多可用资源。
• You must create an IBM Cloud account to use Watson Studio.
  您必须创建一个 IBM Cloud 账户才能使用 Watson Studio。
• You can open Watson Studio by clicking Catalog on the IBM Cloud dashboard and then AI/Machine Learning.
  您可以通过点击 IBM Cloud 仪表板上的“目录”然后选择“人工智能/机器学习”来打开 Watson Studio。
• You can create an empty project or a project from a sample or file by selecting the Work with data option.
  您可以通过选择“使用数据”选项来创建一个空项目或从样本或文件创建一个项目。
• You can add a storage service by clicking Add and then selecting the storage service of your choice.
  您可以通过点击“添加”然后选择您想要的服务来添加一个存储服务。
• You can add or create a new notebook by clicking New asset on the project home page under the Assets tab.
  您可以通过在资源选项卡下的项目主页上点击“新建资产”来添加或创建一个新的笔记本。
• You can share your notebook without sharing the sensitive cells.
  您可以共享您的笔记本，而无需共享敏感单元。
• Jobs are created and scheduled from the Create a job icon in the notebook action bar.
  作业是在笔记本操作栏中的“创建作业”图标处创建和排定的。
• Jobs can be viewed, edited, or deleted on the project home page under the Jobs tab.
  作业可以在资源选项卡下的项目主页上查看、编辑或删除。
• Jupyter Notebook runtime environments and templates can be found on the Environments tab in the Home Page.
  Jupyter Notebook 的运行环境和模板可以在主页的“环境”选项卡中找到。
• You can create and change new Jupyter Notebook templates.
  您可以创建和更改新的 Jupyter Notebook 模板。
• Watson Studio accounts can be integrated into GitHub.
  Watson Studio 账户可以与 GitHub 集成。
• You can push notebooks from Watson Studio to GitHub.
  您可以将 Watson Studio 中的笔记本推送到 GitHub。