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Category: OCI Data Science

Notebooks, jobs, deployments, and best practices on OCI Data Science.

AI

From Quiniela to Machine Learning: Building a World Cup Prediction Demo with Oracle Machine Learning

Introduction Some demos are born from a very technical requirement. Others are born from a simple idea that everyone immediately…

OCI Data Science YOLO image classification project and training workflow

From Zero to a Working YOLO Classifier on Oracle Cloud: Training an Insect Model End-to-End with OCI Data Science + Object Storage + Gradio

There’s a very practical question behind many AI conversations with customers: “Do we actually have the infrastructure to run and…

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Choosing the right GPU shape in OCI Data Science for your AI Model: A practical guide

When you’re running Large Language Models (LLMs) or other heavy AI workloads, one of the first big questions is:“What GPU…

Oracle APEX application connected to OCI Data Science for machine learning predictions.

Building an Oracle APEX Application for Machine Learning Predictions with OCI Data Science — Part 2

📎 Read Part 1 First:If you haven’t seen the first part where we trained and deployed a machine learning model…

Oracle APEX application connected to OCI Data Science for machine learning predictions.

Building an Oracle APEX Application for Machine Learning Predictions with OCI Data Science — Part 1

Introduction Welcome to this comprehensive guide on building an Oracle APEX application that integrates with OCI Data Science to make…

Oracle APEX workflow configuration for automating approval and rejection processes.

Automating Approvals with Workflows in Oracle APEX

Workflows are essential in modern applications to streamline processes, ensure consistency, and automate repetitive tasks. Oracle APEX provides a robust…

Fine-tuned OpenAI model specialized for Oracle APEX development.

Creating my own specialized ChatGPT for Oracle APEX Development using Fine-Tuned OpenAI models

As a developer working with Oracle APEX, staying updated with the latest features and enhancements is crucial for building scalable…

Machine learning image clustering applied to a museum digital archive.

Leveraging Machine Learning for Image Clustering: A Case Study with a Museum’s Digital Archive

Introduction In today’s digital age, museums are increasingly embracing technology to manage and analyze their vast collections. I recently had…

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Reconstructing Incomplete Shapefiles with Python

Shapefiles are a common geospatial vector data format used in Geographic Information Systems (GIS) software. A complete shapefile dataset is…