Oracle Machine Learning Notebooks is an Apache Zeppelin-based collaborative web-based interface that supports notebook creation, scheduled run, and versioning. You can document work using Markdown and run SQL and Python code for data exploration, visualization, and preparation, and machine learning model building, evaluation, and deployment.

The Oracle Machine Learning Notebooks home page is the default landing page when you log in to Oracle Machine Learning Notebooks. The home page provides you quick links to important interfaces, and the log of your high-level recent activities.

Figure 2-1 Oracle Machine Learning Notebooks Home Page

In the home page, you can access:

• The How Do I help links to:

  • Get Started
  • Use AutoML
  • Deploy Models
  • Create Notebooks
  • Create Jobs
  • Manage Permissions
  • Try It
• The Quick Actions links to:

  • AutoML
  • Models
  • Scratchpad
  • Notebooks
  • Jobs
  • Examples

• The log of your Recent Activities.

• The application navigation by clicking on the top left corner of the home page.

• The options to select and create new projects, access recent projects, manage workspace, and set workspace permissions by clicking on the top right corner of the home page.

• The Recent Notebooks on the right pane of the home page.

Here is how you can get started with Oracle Machine Learning Notebooks.

1. Request access to Oracle Machine Learning Notebooks. Contact your Service Administrator to provide access to your Oracle Machine Learning Notebooks account.
2. Access the Oracle Machine Learning Notebooks account by using your credentials. In case you forget your password, then request the Administrator to reset it.

   Note:

   Once you receive your new password, you must change it immediately. Refer to the Oracle Machine Learning password policy for more information.
3. Once you log in for the first time, a workspace and project will be created for you. You can start creating your notebook and assign it to the default project and workspace. You can also create your own project and workspace.

   Note:

   If you are using Oracle Cloud Free Tier, then you have to provision an Oracle Autonomous Database. For more information, see Provision Autonomous Database

You can access Oracle Machine Learning Notebooks from Autonomous Database.

1. Select an Autonomous Database instance and on the Autonomous Database details page click Service Console.
2. Click Development.
3. On the Development page click Oracle Machine Learning User Interface.
4. Enter your username and password.
5. Click Sign In.

• About Oracle Machine Learning Password Policy
  All Oracle Machine Learning users must follow the password policy to create a strong and secured password.

To begin with Oracle Machine Learning Notebooks, refer to the tasks listed in the table as a guide.