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2 changes: 1 addition & 1 deletion data-platform/data-science-vector-ml/README.md
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The Data Science, Vector and Machine Learning section covers the tools and services under the broader Oracle Artificial Intelligence / Machine Learning / Data Science platform targeted at Data Science personas.

Reviewed: 2024.11.16
Reviewed: 2025.03.02


# License
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Expand Up @@ -4,7 +4,7 @@ This page covers Oracle Cloud Infrastructure (OCI) Data Science Service.

Oracle Cloud Infrastructure (OCI) Data Science is a fully-managed platform for teams of data scientists to build, train, deploy, and manage machine learning models using Python and open source tools. Use a JupyterLab-based environment to experiment and develop models. Scale up model training with NVIDIA GPUs and distributed training. Take models into production and keep them healthy with MLOps capabilities, such as automated pipelines, model deployments, and model monitoring.

Reviewed: 2024.11.16
Reviewed: 2025.03.02


# Table of Contents
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# AI Quick Actions: Deploy LLM from Catalog

This document covers how to use AI Quick Actions within OCI Data Science to deploy a foundational model from the AI Quick Actions Catalog.
This document covers how to use AI Quick Actions within OCI Data Science to deploy an out of the box foundational model from the AI Quick Actions Catalog.

Reviewed: 2025.02.07
Reviewed: 2025.03.02


# When to use this asset?

Use this asset as support material when working on how to use AI Quick Actions within OCI Data Science to deploy a foundational model from the AI Quick Actions Catalog.
Use this asset as support material when working on how to use AI Quick Actions within OCI Data Science to deploy an out of the box foundational model from the AI Quick Actions Catalog.


# How to use this asset?
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This document covers how to use AI Quick Actions within OCI Data Science to fine tune a foundational model on a domain-specific dataset.

Reviewed: 2025.02.07
Reviewed: 2025.03.02


# When to use this asset?
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This document covers how to use AI Quick Actions within OCI Data Science to evaluate an already deployed foundational model that was deployed via AI Quick Actions.

Reviewed: 2025.02.07
Reviewed: 2025.03.02


# When to use this asset?
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This document covers how to use AI Quick Actions within OCI Data Science to deploy a verified foundational model downloaded from Hugging Face.

Reviewed: 2025.02.07
Reviewed: 2025.03.02


# When to use this asset?
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This files cover code snippets for OCI Data Science, for enhancing data with GAN (Generative Adversarial Networks).

Reviewed: 2024.11.16
Reviewed: 2025.03.02


# When to use this asset?
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This files cover code snippets for OCI Data Science, for generating synthetic data.

Reviewed: 2024.11.16
Reviewed: 2025.03.02


# When to use this asset?
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This document covers the topic of GitHub integration for OCI Data Science.

Reviewed: 2024.11.16
Reviewed: 2025.03.02


# When to use this asset?
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# ODS - Jobs with ADS

This files cover code snippets for OCI Data Science, for jobs with ADS.
This files cover code snippets to get started with OCI Data Science jobs utilising the ADS library.

Reviewed: 2024.11.16
Reviewed: 2025.03.02


# When to use this asset?

Use this asset as support material when working with OCI Data Science, for jobs with ADS.
Use this asset as support material when working with OCI Data Science jobs utilising the ADS library.


# How to use this asset?
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# ODS - Jobs Distributed Training

This files cover code snippets for OCI Data Science, for jobs distributed training.
This files cover code snippets and documentation for utilising OCI Data Science Jobs for Distributed Training.

Reviewed: 2024.11.16
Reviewed: 2025.03.02


# When to use this asset?

Use this asset as support material when working with OCI Data Science, for jobs distributed training.
Use this asset as support material for utilising OCI Data Science Jobs for Distributed Training.


# How to use this asset?
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# Jobs with OCI Data Science ADS Operator Control

This document covers the topic of jobs with OCI Data Science ADS Operator Control.
This document covers the topic of submitting local code as OCI Data Science Jobs using the ADS Operator Control.

Reviewed: 2024.11.16
Reviewed: 2025.03.02


# When to use this asset?

Use this asset as support material when working on OCI Data Science jobs with ADS Operator Control.
Use this asset as support material when submitting local code as OCI Data Science Jobs using the ADS Operator Control.


# How to use this asset?
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# OCI setup MLflow Tracking Server

This document covers setup of MLflow Tracking Server on OCI.
This document contains code assets and doucmentation for setting up and integrating OCI Data Science with MLflow Tracking Server on OCI.

Reviewed: 2024.11.16
Reviewed: 2025.03.02


# When to use this asset?

Use this asset as support material when working with an MLflow Tracking Server setup on OCI.
Use this asset as support material when working on setting up and integrating OCI Data Science with MLflow Tracking Server on OCI.


# How to use this asset?
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# Provisioning OCI AI All-in-One Data Science image

This document covers provisioning of OCI AI All-in-One Data Science image.
This document covers provisioning of the AI All-in-One Data Science Image from the OCI Markplace.

Reviewed: 2024.11.16
Reviewed: 2025.03.02


# When to use this asset?

Use this asset as support material when working with an OCI AI All-in-One Data Science image provisioning.
w
Use this asset as support material when provisioning of the AI All-in-One Data Science Image from the OCI Markplace.


# How to use this asset?
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# R Conda environment installation for OCI Data Science

This document covers installation of R Conda environment for OCI Data Science.
This document contains the code and documentation on how to install an R Conda environment within OCI Data Science.

Reviewed: 2024.11.16
Reviewed: 2025.03.02


# When to use this asset?

Use this asset as support material when working with an R Conda environment installation for OCI Data Science.
Use this asset as support material when working on how to install an R Conda environment within OCI Data Science.


# How to use this asset?
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Expand Up @@ -4,7 +4,7 @@ This page covers Oracle Graph analytics for Data Science projects.

Graph databases, part of Oracle’s converged database offering, eliminate the need to set up a separate database and move data. Analysts and developers can perform fraud detection in banking, find connections and links to data, and improve traceability in smart manufacturing, all while gaining enterprise-grade security, ease of data ingestion, and strong support for data workloads.

Reviewed: 2024.11.16
Reviewed: 2025.03.02


# Useful Links
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This file covers code snippets for Oracle Property Graph, for the Explore Graph Model step.

Reviewed: 2024.11.16
Reviewed: 2025.03.02


# When to use this asset?
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This file covers code snippets for Oracle Property Graph, for the Extract Graph Metrics step.

Reviewed: 2024.11.16
Reviewed: 2025.03.02


# When to use this asset?
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This file covers code snippets for Oracle Machine Learning, for the Prepare Data for Graph step.

Reviewed: 2024.11.16
Reviewed: 2025.03.02


# When to use this asset?
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Expand Up @@ -4,7 +4,7 @@ This page covers Oracle Machine Learning, or Machine Learning in Oracle Database

Machine Learning in Oracle Database supports data exploration, preparation, and machine learning modeling at scale using SQL, R, Python, REST, automated machine learning (AutoML), and no-code interfaces. It includes more than 30 high-performance in-database algorithms producing models for immediate use in applications. By keeping data in the database, organizations can simplify their overall architecture and maintain data synchronization and security. It enables data scientists and other data professionals to build models quickly by simplifying and automating key elements of the machine learning lifecycle.

Reviewed: 2024.11.16
Reviewed: 2025.03.02

# Team Publications

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This file covers code snippets for Oracle Machine Learning, for the Create Machine Learning Models step.

Reviewed: 2024.11.16
Reviewed: 2025.03.02


# When to use this asset?
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This file covers code snippets for Oracle Machine Learning, for the Explore Enhanced Data step.

Reviewed: 2024.11.16
Reviewed: 2025.03.02


# When to use this asset?
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