The Data Science service enables data science teams to build, train, and manage machine learning and artificial intelligence models on Oracle Cloud. You can collaborate on data science questions in projects that allow you to organize and document your data science assets. Within projects, you can provision Notebook Sessions, running on managed Oracle Cloud Infrastructure compute, storage, and networking. Notebook Sessions provide a JupyterLab interface where data scientists can write and execute Python code to build, train, evaluate, and explain models using a wide variety of pre-installed open source and Oracle machine learning libraries. When a data scientist has trained a model, it can be saved to the service's model catalog that captures the model's provenance and saves its artifacts to centralized, managed storage. For more information, see Data Science.