2.3 About Oracle Machine Learning Notebooks

Oracle Machine Learning Notebooks is a collaborative web-based interface that supports notebook creation, scheduled run, and versioning. You can document work using Markdown and run SQL, R, and Python code for data exploration, visualization, and preparation, and machine learning model building, evaluation, and deployment. Oracle Machine Learning Notebooks also provide the Conda interpreter to create a custom conda environment that includes user-specified third-party Python and R libraries.

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, R, Markdown, and Conda

• Typical Actions when Using Oracle Machine Learning Notebooks
  To begin with Oracle Machine Learning Notebooks, refer to the tasks listed in the table as a guide.

2.3.1 Typical Actions when Using Oracle Machine Learning 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 User Interface	Access Oracle Machine Learning User Interface (UI)
Create workspaces	Create Projects and Workspaces
Create projects	Create Projects and Workspaces
Access and create a notebook	Access and create a Notebook
Enable GPU Compute Capabilities in a Notebook	Enable GPU Compute Capabilities in a Notebook through the Python Interpreter
Create and Run an AutoML Experiment	Create AutoML UI Experiment
Run a Notebook using SQL Interpreter	Use the SQL Interpreter in a Notebook Paragraph
Run a Notebook using Python Interpreter	Use the Python Interpreter in a Notebook Paragraph
Run a Notebook using R Interpreter	Use the R Interpreter in a Notebook Paragraph
Run a Notebook using Conda Interpreter	Use the Conda Interpreter in a Notebook Paragraph
Use the Markdown Interpreter	Use the Markdown Interpreter and Generate Static html from Markdown Plain Text
Create a Data Monitor	Create a Data Monitor
Create a Model Monitor	Create a Model Monitor
Use the Scratchpad	Use the Scratchpad
Create jobs to schedule notebooks	Create Jobs to Schedule Notebook