Data ScienceData Science is a fully managed and serverless platform for data science teams to build, train, and manage machine learning models in Oracle Cloud Infrastructure. What's new Get Started Overview of the Data Science service Data Scientists guide to OCI What's new in ADS Provisioning and pricing Configure a tenancy with one-click Resource Manager Create projects Using GPUs Product page Build Models in Notebooks Authentication Use code files Configure a private endpoint Configure runtime options Create notebooks View notebook metrics Connect to data Connect to Data Flow Use AI Operators Overview Quick Start AI Forecasting Anomaly Detection ML Applications Overview Policies Project Setup Support Increase Data Science service limits Support Requests Create a service request Create and Save Models Construct a model artifact Create and save models Use a large model artifact Use Jobs Use your own container Build a job artifact Create a job Start a job run View job run metrics Use Pipelines Create a pipeline Start a pipeline run Delete a pipeline run Bring Your Own Container Developer Tools ADS SDK ADS classes OCIFS SDK AutoMLx ML Insights ML Monitoring Feature StoreData Science API Data Science CLI Community AI and Data Science blog Data Science newsletter subscription Data Science learning videos Become an OCI Data Science Professional Discover Model Deployments Set up IAM policies Use your own container Create model deployments Set up predict endpoints View model deployment metrics Functions samples repository and Cloud Shell quick start Explore Conda Environments Learn about condas Install condas Publish a conda to a bucket Select a kernel Copy a conda to another region Conda notebook examples Use AI Quick Actions Prerequisites About AI Quick Actions Models Model Deployment Fine-Tuning Evaluations Troubleshooting Use logging Jobs Metrics Model deployment Notebook sessions Review known issues
Data ScienceData Science is a fully managed and serverless platform for data science teams to build, train, and manage machine learning models in Oracle Cloud Infrastructure. What's new Get Started Overview of the Data Science service Data Scientists guide to OCI What's new in ADS Provisioning and pricing Configure a tenancy with one-click Resource Manager Create projects Using GPUs Product page Build Models in Notebooks Authentication Use code files Configure a private endpoint Configure runtime options Create notebooks View notebook metrics Connect to data Connect to Data Flow Use AI Operators Overview Quick Start AI Forecasting Anomaly Detection ML Applications Overview Policies Project Setup Support Increase Data Science service limits Support Requests Create a service request Create and Save Models Construct a model artifact Create and save models Use a large model artifact Use Jobs Use your own container Build a job artifact Create a job Start a job run View job run metrics Use Pipelines Create a pipeline Start a pipeline run Delete a pipeline run Bring Your Own Container Developer Tools ADS SDK ADS classes OCIFS SDK AutoMLx ML Insights ML Monitoring Feature StoreData Science API Data Science CLI Community AI and Data Science blog Data Science newsletter subscription Data Science learning videos Become an OCI Data Science Professional Discover Model Deployments Set up IAM policies Use your own container Create model deployments Set up predict endpoints View model deployment metrics Functions samples repository and Cloud Shell quick start Explore Conda Environments Learn about condas Install condas Publish a conda to a bucket Select a kernel Copy a conda to another region Conda notebook examples Use AI Quick Actions Prerequisites About AI Quick Actions Models Model Deployment Fine-Tuning Evaluations Troubleshooting Use logging Jobs Metrics Model deployment Notebook sessions Review known issues