OCI Data Science

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

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 iterate on computer vision models reliably?” This project started as a hands-on way to answer that question with a concrete artifact:a working YOLO-based image classification model, trained on a real dataset, packaged with a Gradio […]

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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 shape do I actually need in OCI Data Science?” This guide walks you through the key concepts, the GPU shapes available in OCI Data Science, and what shape matches the most popular AI models today.

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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 using OCI Data Science, start here:👉 Part 1: Train and Deploy ML Model in OCI Data Science Introduction Welcome back! In Part 1, we trained a RandomForestClassifier using the Iris dataset, deployed it in OCI

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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 real-time predictions using a machine learning model. This guide is divided into two parts: What you’ll learn in Part 1 In this first part, we will go step by step through: Why you should stay

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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 workflow engine that allows developers to automate approvals and rejections efficiently. Despite the abundance of blogs and documentation available, many resources often miss crucial steps, such as ensuring a workflow exists both in the development

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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 and secure applications. While tools like ChatGPT have become invaluable for coding assistance, I’ve often found that its knowledge of specific technologies can lag behind the latest updates. This is particularly true when new versions

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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 the opportunity to collaborate with a museum that houses a wealth of historical artifacts captured in digital images. The challenge was to extract meaningful information from these images to assist curators in identifying patterns and

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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 composed of several files, each serving a specific purpose. However, sometimes users may encounter missing components in a shapefile dataset, leading to incomplete data representation. This article guides you through reconstructing missing shapefile components using

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