Oracle Machine Learning Notebooks
Oracle Machine Learning Notebooks is a collaborative user interface for data scientists and business/data analysts who perform machine learning in Oracle Autonomous Database. You can create notebooks to perform various to perform data analytics, data discovery and data visualizations, create notebooks from example templates, collaborate with other users by sharing your notebooks, and create jobs to schedule running of notebooks.
Tasks
Work with Notebooks
Learn how to create and use OML notebooks to write code, text, create visualizations, and perform data analytics including machine learning.
Enable GPU Compute Capabilities in a Notebook
Learn how to enable NVIDIA GPUs (Graphics Processing Unit) compute capabilities in a notebook through the Python interpreter. With the new GPU capabilities in OML Notebooks, you can run advanced machine learning algorithms such as deep learning models, transformers (embedding models) for generating vectors, and small LLMs.
Monitor your Data
Learn how your data evolves over time. Data monitoring helps you with insights on trends and multivariate dependencies in the data. It also gives you an early warning about data drift.
Monitor your Models
Learn how to monitor the quality of model predictions over time. The model monitoring functionality helps you with insights on the causes of model quality issues.
Work with Projects and Workspaces
Learn how you can collaborate with other users in Oracle Machine Learning User Interface (UI) by granting permissions to access your workspace. Your workspace contains your projects and notebooks.
Work with Templates
Learn how to collaborate with other users by sharing your work, publishing your work as reports, and by creating notebooks from templates. You can store your notebooks as templates, share notebooks, and provide sample templates to other users.
Work with Jobs
Learn how to create jobs to schedule the running of notebooks, duplicate jobs, start and stop jobs, delete jobs, and monitor job status by viewing job logs.