2 Get Started with Oracle Machine Learning Notebooks

This section discusses how to get started with Oracle Machine Learning Notebooks, and use Apache Zeppelin-based machine learning notebooks where you can perform data exploration and data visualization, data preparation and machine learning.

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About Oracle Machine Learning Notebooks

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.

Key features of Oracle Machine Learning Notebooks:
  • Allows collaboration among data scientists, business and data analysts, application and dashboard developers, Database Administrators, and IT professionals

  • Leverages the scalability and performance of Oracle Autonomous Database Platform

  • Supports scheduling notebooks as jobs for one-off and recurring running of notebooks

  • Enables versioning of notebooks

  • Supports interpreters for SQL, PL/SQL, Python, and Markdown

Oracle Machine Learning Notebooks Home Page

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

OML 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 hamburger 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 tile on the top right corner of the home page.

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

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Get Started with Oracle Machine Learning Notebooks

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

Access Oracle Machine Learning Notebooks

You can access Oracle Machine Learning Notebooks from Autonomous Database.

To access Oracle Machine Learning Notebooks from the Autonomous Database:

  1. Select your Autonomous Database instance and on the Autonomous Database details page click Database Actions.Database Actions
  2. On the Database Actions page, go to the Development section and click Oracle Machine Learning. The Oracle Machine Learning sign in page opens. Oracle Machine Learning
  3. On the Oracle Machine Learning sign in page, enter your username and password.
  4. Click Sign In.

This opens the Oracle Machine Learning user application.

About Oracle Machine Learning Password Policy

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

When changing or modifying your Oracle Machine Learning password, ensure that you follow these conditions:
  • The password must be between 12 and 30 characters long. It must include at least one uppercase letter, one lowercase letter, and one numeric character.

  • The password cannot contain the username.

  • The password cannot be one of the last 4 passwords used for the same username.

  • The password cannot contain the double quote (") character.

  • The password must not be the same password that is set less than 24 hours ago.

Typical Workflow For Using Notebooks

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

Tasks More Information
Access Oracle Machine Learning Notebooks Access Oracle Machine Learning
Create workspaces Create Projects and Workspaces
Create projects Create Projects and Workspaces
Create notebooks Create a Notebook
Run a Notebook with Python Interpreter Run a Notebook with Python Interpreter
Use the Scratchpad Use the Scratchpad
Create jobs to schedule notebooks Create Jobs to Schedule Notebook