Oracle - Data Science Platform logo

Oracle - Data Science Platform

Data science platform
Oracle - Data Science Platform Overview
A data science platform that improves productivity with unparalleled abilities. Build and evaluate higher-quality machine learning models. Increase business flexibility by putting enterprise-trusted data to work quickly and support data-driven business objectives with easier deployment of ML models.
  • System-wide Features:
  • Teamwork and Collaboration
  • Enterprise Security
  • Governance
  • Enterprise Support
  • MLOps Features:
  • Data Acquisition
  • Data Versioning
  • Data Visualization
  • Data Preparation
  • Data Pipelines
  • Data Labeling
  • AutoML
  • Featurization
  • Feature Store
  • ML Pipelines or Workflows
  • Model Registry
  • Model Marketplace
  • Model Training
  • Distributed Model Training
  • Model Debugging
  • Experiment Management
  • Deep Learning Support
  • Reinforcement Learning Support
  • Bias Detection and Mitigation
  • Model Explainability
  • Hyperparameter Optimization
  • Model Packaging
  • Model Deployment and Serving
  • Edge ML Support
  • Model Monitoring
  • Cost Management
  • ML Infrastructure Orchestration
  • Accelerator Support
  • Kubernetes Support

Have you used Oracle - Data Science Platform?

If so, please share your experiences with the TWIML community.
Additional Product Information
Deploys On
  • Amazon Web Services
  • Google Cloud Platform
  • Microsoft Azure
  • Other Public Cloud
  • Kubernetes
  • NVIDIA
  • Private Cloud or Datacenter
  • SaaS
Oracle Vendor Information
Vendor Overview
Oracle is an integrated cloud application and platform services that sells a range of enterprise information technology solutions.
Vendor Details
Year Founded
1977
HQ Location
Austin, Texas, United States
Ownership
Public
Oracle - Data Science Platform logo

Contact Request

No data was found

Sorry. This form is no longer accepting new submissions.

Submit Review for Oracle - Data Science Platform

Sorry. This form is no longer accepting new submissions.